Relevant bibliographies by topics / Complementarity determining region

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Complementarity determining region'

Author: Grafiati
Published: 5 June 2025
Last updated: 24 June 2025

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Journal articles on the topic "Complementarity determining region"

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da Rocha, David Gitirana, Jorge Hernandez Fernandez, Claudia Maria Costa de Almeida, et al. "The complementarity-determining region sequences in IgY antivenom hypervariable regions." Data in Brief 13 (August 2017): 717–22. http://dx.doi.org/10.1016/j.dib.2017.07.005.

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Schneider, W. P., S. M. Glaser, J. A. Kondas, and J. Hakimi. "The anti-idiotypic response by cynomolgus monkeys to humanized anti-Tac is primarily directed to complementarity-determining regions H1, H2, and L3." Journal of Immunology 150, no. 7 (1993): 3086–90. http://dx.doi.org/10.4049/jimmunol.150.7.3086.

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Abstract The anti-ld response developed by cynomolgus monkeys to the humanized anti-Tac antibody was analyzed by using 12 humanized anti-Tac variants differing in V region structure. The majority of the monkey response was directed against idiotopes composed wholly or in part of complementarity-determining regions H1, H2, and L3. There was no detectable response directed solely to five single complementarity-determining regions examined or solely to the modified human V region framework.
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Choi, Yoonjoo, and Charlotte M. Deane. "Predicting antibody complementarity determining region structures without classification." Molecular BioSystems 7, no. 12 (2011): 3327. http://dx.doi.org/10.1039/c1mb05223c.

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Stanfield, Robyn, Vaughn Smider, and Ian Wilson. "Bovine antibodies with ultra long H3 Complementarity Determining Regions." Acta Crystallographica Section A Foundations and Advances 70, a1 (2014): C255. http://dx.doi.org/10.1107/s2053273314097447.

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About 10% of the bovine antibody repertoire exhibit extremely long H3 complementarity determining regions (CDRs). These H3 CDRs are usually described as `loops' in the more familiar mouse and human antibody Fab structures, but the ultra long bovine H3 CDRs are actually small, cysteine-rich protein domains that vary in size from 44 to 64 amino acids. We have recently determined the structures for two bovine antibody Fab fragments, and will describe these, as well as compare them with two other previously determined bovine Fab structures (Wang et al., Cell, 2013). One new Fab has a relatively short H3 CDR region of 44 residues, with just one disulfide bond, while the other boasts one of the longest H3 CDRs, with 63 residues and four disulfide bonds. These H3 CDRs fold to form apparently rigid `stem' regions, that present the disulfide bonded `knob' domain far above the five other Fab CDR loops. Despite extreme diversity in sequence, length and disulfide bonding patterns, the CDRs share structural homology, both in their long stems and in the more variable knob regions.
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Van holsbeeck, Kevin, José C. Martins, and Steven Ballet. "Downsizing antibodies: Towards complementarity-determining region (CDR)-based peptide mimetics." Bioorganic Chemistry 119 (February 2022): 105563. http://dx.doi.org/10.1016/j.bioorg.2021.105563.

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Liu, Ge, Haoyang Zeng, Jonas Mueller, et al. "Antibody complementarity determining region design using high-capacity machine learning." Bioinformatics 36, no. 7 (2019): 2126–33. http://dx.doi.org/10.1093/bioinformatics/btz895.

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Abstract Motivation The precise targeting of antibodies and other protein therapeutics is required for their proper function and the elimination of deleterious off-target effects. Often the molecular structure of a therapeutic target is unknown and randomized methods are used to design antibodies without a model that relates antibody sequence to desired properties. Results Here, we present Ens-Grad, a machine learning method that can design complementarity determining regions of human Immunoglobulin G antibodies with target affinities that are superior to candidates derived from phage display panning experiments. We also demonstrate that machine learning can improve target specificity by the modular composition of models from different experimental campaigns, enabling a new integrative approach to improving target specificity. Our results suggest a new path for the discovery of therapeutic molecules by demonstrating that predictive and differentiable models of antibody binding can be learned from high-throughput experimental data without the need for target structural data. Availability and implementation Sequencing data of the phage panning experiment are deposited at NIH’s Sequence Read Archive (SRA) under the accession number SRP158510. We make our code available at https://github.com/gifford-lab/antibody-2019. Supplementary information Supplementary data are available at Bioinformatics online.
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Nguyen, Anh Thi Viet, Tien Thi Thuy Trinh, Vui Thi Hoang, et al. "Peptide Aptamer of Complementarity-determining Region to Detect Avian Influenza Virus." Journal of Biomedical Nanotechnology 15, no. 6 (2019): 1185–200. http://dx.doi.org/10.1166/jbn.2019.2772.

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Barrios, Yvelise, Pernilla Jirholt, and Mats Ohlin. "Length of the antibody heavy chain complementarity determining region 3 as a specificity-determining factor." Journal of Molecular Recognition 17, no. 4 (2004): 332–38. http://dx.doi.org/10.1002/jmr.679.

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Qiu, Xiao-Qing, He Wang, Bei Cai, Lan-Lan Wang, and Shi-Tao Yue. "Small antibody mimetics comprising two complementarity-determining regions and a framework region for tumor targeting." Nature Biotechnology 25, no. 8 (2007): 921–29. http://dx.doi.org/10.1038/nbt1320.

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Saragovi, H., D. Fitzpatrick, A. Raktabutr, H. Nakanishi, M. Kahn, and M. Greene. "Design and synthesis of a mimetic from an antibody complementarity-determining region." Science 253, no. 5021 (1991): 792–95. http://dx.doi.org/10.1126/science.1876837.

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Dissertations / Theses on the topic "Complementarity determining region"

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Attaf, Meriem. "Functional analysis of T cells lacking germline-encoded complementarity-determining regions." Thesis, Imperial College London, 2013. http://hdl.handle.net/10044/1/11674.

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The diversity of antigen receptors and the specificity it underlies are the hallmarks of the cellular arm of the adaptive immune system. T and B lymphocytes are indeed truly unique in their ability to generate receptors capable of recognising virtually any pathogen. It has been known for several decades that T lymphocytes recognise short peptides derived from degraded proteins that are presented by major histocompatibility complex (MHC) molecules. Nonetheless, the molecular basis of this interaction is still a matter of debate, the central issue being the roles played by the complementarity-determining regions (CDR) in this context. In this study we have generated a transgenic mouse line lacking all three TCR-β chain CDR loops and a second line lacking the hypervariable CDR3 loop only. This project is the first attempt to characterise such transgenic mice, which were found to develop normally and to generate functional T lymphocytes. We demonstrate that in this murine TCR-β transgenic system, CDR-modified thymocytes can be selected on MHC and develop into functional peripheral T cells. We show for the first time that T cells lacking all three TCR-β chain CDR loops respond to protein antigen in an MHC-restricted manner. This will provide insight into the structural basis of the TCR-MHC-peptide interaction and increase our current knowledge of the requirements for the selection and functionality of MHC-restricted T cells.
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Holland, Stephen. "The role of germline-encoded T cell receptor complementarity determining regions in T cell selection and function." Thesis, Imperial College London, 2013. http://hdl.handle.net/10044/1/10725.

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αβ T cell Receptors (TCR) recognise peptide antigen (p) presented on Major Histocompatability Complexes (MHC) via Complementarity Determining Regions (CDRs). TCRs are required to respond to a vast plethora of differing antigens and the CDR regions are suitably diverse, encoded by an array of gene-segments, which recombine during T cell development to generate diverse repertoires of TCRs. CDR1 and 2, which predominantly interact with the MHC, are encoded within gene-segments, and are subject to evolutionary pressure. However, CDR3 loops are non-germline and created through junctional diversity. TCRs are ‘MHC restricted’ and only respond to antigen in the context of MHC. An influential theory proposes that CDR1 and 2 have co-evolved with MHC and as such are inherently predisposed towards MHC recognition. This thesis used preliminary data derived from whole genome analysis of TCR CDR1 and 2 diversity relative to those of related immunoglobulins (which are not MHC restricted) to determine if there is any relationship between germline CDR diversity and MHC restriction. Conventional mutagenesis involving substituting CDR1 and 2 with artificial peptide linkers and replacement of βCDR1 and 2 with those of the related yet MHC unrestricted γTCR chain was carried out in concert with a novel system that embedded recombination cassettes into the CDR1 or 2 allowing in vivo generation and selection of a library of non-germline CDR1 or 2 mutants. Collectively, these data strongly infer a lack of requirement of germline CDR sequences in mediating MHC recognition in both pMHC-mediated T cell development and function. However, alteration of the germline sequence did affect the efficiency of T cell development, preference of MHC class type and the diversity of the subsequent T cell repertoire. Thus, germline CDR structures may facilitate a more diverse array of MHC docking modes to maximise the resultant TCR repertoire, contributing to an increased capacity for cross-reactivity, rather than imposing MHC restriction.
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Nowak, Jaroslaw. "Understanding antibody binding sites." Thesis, University of Oxford, 2017. http://ora.ox.ac.uk/objects/uuid:5558a55e-bb47-4b29-a681-1e58771abd1d.

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Antibodies are soluble proteins produced by the adaptive immune system to bind and counteract invading pathogens. The binding properties of a typical human antibody are determined by the structure of its variable domain, composed of two chains – heavy and light and by the conformation of six loops located on the surface of the variable domain, known as Complementarity Determining Regions (CDRs). In the first chapter, we describe our analysis of the conformational space occupied by five out of six antibody CDRs (L1, L2, L3, H1 and H2) and the development of a novel, length-independent method for grouping these CDRs into structural clusters (canonical forms). We show that using our method we can increase coverage and precision of assigning CDR sequences into clusters. In the next chapter, we describe a method for ranking structural decoys of the CDR-H3 loop. We show that by computationally perturbing CDR-H3 decoys we can improve the performance of existing ranking methods. In the same chapter, we discuss the development of a method for high-throughput assignment of heavy-light chain orientation. The power of the method was demonstrated by assigning orientation to billions of potential Fv sequences. The third Chapter describes the analysis of a large dataset of CDR sequences with the aim of identifying sequence patterns responsible for the loops' structure. Using a neural network methodology, we found several groups of CDR sequences which might be indicative of previously-unseen conformations. In the final results Chapter, we describe how we used the structural knowledge developed throughout the rest of the thesis to create a novel pipeline for computational antibody design. We show that the binders developed using our methodology had similar features to available antibody therapeutics and low predicted propensity to cause an immunogenic response. These results demonstrate the potential for using computational methods for designing high affinity therapeutics with human properties.
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Yu, Tsu-Po, and 于思泊. "Mutagenesis and Characterization of Rheumatoid Factor in Human Heavy Chain Complementarity-Determining Region 3 (CDR3)." Thesis, 2000. http://ndltd.ncl.edu.tw/handle/75074683355091018467.

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碩士<br>台北醫學院<br>細胞及分子生物研究所<br>88<br>Abstract Mutagenesis and Characterization of Rheumatoid Factor in Human Heavy Chain Complementarity-Determining Region 3 (CDR3) Tsu-Po Yu Rheumatoid arthritis (RA) is an extravascular immune complex disease with chronic joint inflammation of unknown etiology. Many of patients with this autoimmune disorder have a characteristic marker, termed rheumatoid factor (RF), in their sera. RF is an autoantibody binds to the Fc region of IgG may cause inflammation and tissue damage in the rheumatoid synovium. To further study the role of RF CDR3 on binding affinity, we used semisynthetic combinatorial antibody library technique to randomize the heavy chain CDR3 (HCDR3) region by using overlap extension PCR of RF L1. A semisynthetic combinatorial antibody library was constructed and contained about 1.16×104 mutants in size. After 4th panning against human IgG Fc portion, the results on 15 randomly chosen clones showed that the clones of correct size increased from 80% to 100%. Otherwise, restriction enzyme analysis of 6 of 15 final panning clones revealed they had heavy chain inserts of right size. Western blotting and ELISA analysis of 6 randomly selected clones after IPTG induction suggested they are Fabs and 2 of them, Y#1 and Y#9 have better binding capacity to Fc. Moreover, Y#1 was RF L1 and clone Y#11 is equal to MT#9 after analysis of amino acid sequences. Viewed as a whole, clone Y#9 is one selected mutant with high specificity and binding capacity against human IgG Fc portion. Besides, 3 clones of the mutants, Y#9, Y#11 and MT#9 have the same amino acid, arginine, at the initial 2nd residue of the H-CDR3, revealed that it probably plays an important role.
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Piche-Nicholas, Nicole Melissa. "Changes in complementarity-determining regions significantly alter IgG binding to the neonatal Fc receptor." Thesis, 2014. https://hdl.handle.net/2144/14377.

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A large body of data exists demonstrating the key role of FcRn in extending the half-life of therapeutic antibodies by rescuing them from lysosomal degradation. This led to the widely accepted hypothesis that FcRn binding of an IgG via the CH2-CH3 interface of Fc correlates with IgG half-life. Several studies have demonstrated that in vivo half-life can be modified by changing the binding affinity of IgG to FcRn. These modifications were generated by mutating the coding sequence for the Fc region that resulted in enhanced or reduced FcRn binding at endosomal pH without enhancing binding at neutral pH. In contrast to this, we have observed that the half-lifes of IgG molecules that had showed no target-mediated disposition or off-target binding varies widely, even when they share identical Fc domains. This led us to hypothesize that domains of IgG molecules other than Fc could contribute to the modulation of FcRn binding and affect in vivo half-life. This hypothesis was strengthened by recent publications by other groups showing a correlation between antibody charge and the FcRn affinity and/or in vivo half-life. In this study we explored the role of IgG domains other than the FcRn binding domain in altering the affinity between IgG and FcRn and its relation to the in vivo half-life. Here we describe a surface plasmon resonance (SPR) based assay developed to examine the steady-state binding affinity (KD) of IgG molecules to FcRn. We systematically dissected the contributions of IgG variable domain regions in modulating the affinity between FcRn and IgG. Through analysis of a broad collection of therapeutic antibodies containing more than 100 unique IgG molecules against more than 25 different therapeutic targets we have demonstrated that variable domains and in particular CDRs significantly alter binding affinity to FcRn, by 10 to 80-fold, whereas heavy and light chain isotypes do not. Because CDRs modulate the affinity between IgG and FcRn in our in vitro studies, it is important to understand the role they play in modulation of IgG half-life in vivo as this would have far-reaching implications in the half-life optimization efforts of IgG therapeutics.
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Books on the topic "Complementarity determining region"

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Dieck, Antje tom. Klonspezifischer Nachweis minimaler Resterkrankung bei B-Zell-Neoplasien durch Amplifikation der Complementarity Determining Region III. 1998.

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Book chapters on the topic "Complementarity determining region"

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Lefranc, Marie-Paule. "Complementarity Determining Region (CDR-IMGT)." In Encyclopedia of Systems Biology. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-9863-7_257.

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Oelßner, Elana, Rolf Stigler, Thomas Michel, Gerald Grütz, Gerit Thie, and Jens Schneider-Mergener. "Biochemical and biological characterisation of peptides from an antibody complementarity determining region." In Peptides 1992. Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-1470-7_397.

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Zhou, Y., E. Hifumi, H. Kondo, and T. Uda. "Presence of Catalytic Activity of the Antibody Light Chain Raised against Complementarity Determining Region Peptide of Super Catalytic Antibody." In ACS Symposium Series. American Chemical Society, 2002. http://dx.doi.org/10.1021/bk-2002-0830.ch016.

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Kuroda, Daisuke, and Kouhei Tsumoto. "Structural Classification of CDR-H3 in Single-Domain VHH Antibodies." In Computer-Aided Antibody Design. Springer US, 2022. http://dx.doi.org/10.1007/978-1-0716-2609-2_2.

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AbstractThe immune systems protect vertebrates from foreign molecules or antigens, and antibodies are important mediators of this system. The sequences and structural features of antibodies vary depending on species. Many of antibodies from vertebrates, including camelids, have both heavy and light chain variable domains, but camelids also have antibodies that lack the light chains. In antibodies that lack light chains, the C-terminal variable region is called the VHH domain. Antibodies recognize antigens through six complementarity-determining regions (CDRs). The third CDR of the heavy chain (CDR-H3) is at the center of the antigen-binding site and is diverse in terms of sequence and structure. Due to the importance of antibodies in basic science as well as in medical applications, there have been many studies of CDR-H3s of antibodies that possess both light and heavy chains. However, nature of CDR-H3s of single-domain VHH antibodies is less well studied. In this chapter, we describe current knowledge of sequence–structure–function correlations of single-domain VHH antibodies with emphasis on CDR-H3. Based on the 370 crystal structures in the Protein Data Bank, we also attempt structural classification of CDR-H3 in single-domain VHH antibodies and discuss lessons learned from the ever-increasing number of the structures.
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Leach, Michael W. "Antibodies (Abs) and Related Products Containing Complementarity-Determining Regions (CDRs)." In Translational Medicine. CRC Press, 2021. http://dx.doi.org/10.1201/9781003124542-23.

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"Complementarity Determining Region." In Encyclopedia of Genetics, Genomics, Proteomics and Informatics. Springer Netherlands, 2008. http://dx.doi.org/10.1007/978-1-4020-6754-9_3420.

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"Complementarity Determining Region." In Encyclopedia of Systems Biology. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-9863-7_100246.

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"Complementarity Determining Region." In Encyclopedia of Cancer. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-16483-5_1288.

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"Complementarity-Determining Region (CDR)." In Encyclopedia of Immunotoxicology. Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-642-54596-2_200291.

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Searle, Stephen J., Jan T. Pedersen, Andrew H. Henry, David M. Webster, and Anthony R. Rees. "Antibody Structure and Function." In Antibody Engineering. Oxford University PressNew York, NY, 1995. http://dx.doi.org/10.1093/oso/9780195091502.003.0001.

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Abstract The remarkably diverse specificity of antibodies can now be explained both in genetic and structural terms. In the early 1970s Wu and Kabat compared the amino acid sequences of immunoglobulin variable domains and showed that certain segments of sequence were more or less conserved while others exhibited high variability between one sequence and another. They proposed that the highly variable segments, or complementarity determining regions (CDRs), formed a contiguous structural element at one end of the antibody that was responsible for antigen recognition. Ip. 1973, this prediction was confirmed by Poljak and coworkers who reported the first X-ray crystallographic structure of an antibody Fab fragment that contained the antigen binding region.
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Conference papers on the topic "Complementarity determining region"

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Barker, Richard, Michael Bryant, Frederick Pessu, and Anne Neville. "Determining the Behavior of Sulfur Compounds in Controlling Preferential Weld Corrosion in CO2-Saturated Brine." In CORROSION 2014. NACE International, 2014. https://doi.org/10.5006/c2014-4213.

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Abstract This paper presents the application of white light interferometry as a new complimentary technique in addition to zero resistance ammetry (ZRA) and the linear polarization resistance (LPR) technique to determine regions of selective attack on 1% Ni welds in CO2-saturated environments. Un-segmented electrodes consisting of a parent material, heat affected zone (HAZ) and weld were subjected to long duration immersion tests and subsequently 3D profiled using white light interferometry to assess which regions (if any) preferentially corroded. In parallel tests, a multi-array electrode was introduced, consisting of a segmented carbon steel parent material, HAZ and 1% Ni weld. Each electrode facilitated electrical connections, allowing each individual segmented to be electrically connected externally via a potentiostat, simulating a fully un-segmented sample. A multi-channel ZRA arrangement was adopted to simultaneously quantify the current transfer between the areas of interest. The intrinsic corrosion rates of the materials were also measured using the linear polarization resistance technique in an effort to determine whether the total corrosion rates of each weld region could be calculated and compared with the profilometry data. One week experiments were conducted in 3 wt.% NaCl uninhibited and inhibited (5 ppm of 2-mercaptoethanol and 5 ppm sodium thiosulphate) environments. The profiles obtained are further supplemented with scanning electron microscopy (SEM) images to assess the surface damage in more detail. The results indicate that white light interferometry can act as a valuable complementary technique by helping understand the extent of localized/pitting corrosion on the material surface. The technique also allows verification of the relative differences in total corrosion rates of the parent, HAZ and weld, thus helping to validate the electrochemical responses obtained. Finally, a case study is presented to demonstrate how the application of white light interferometry was used to determine the propensity for PWC to occur on a North Sea pipeline.
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Ueki, Takafumi, and Masahito Ohue. "Antibody Complementarity-Determining Region Sequence Design Using AlphaFold2 and Binding Affinity Prediction Model." In 2023 Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE). IEEE, 2023. http://dx.doi.org/10.1109/csce60160.2023.00350.

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Khalilian, Saeed, Zahra Moti, Arian Baloochestani, Yeganeh Hallaj, Alireza Chavosh, and Zahra Hemmatian. "VAEResTL: A Novel Generative Model for Designing Complementarity Determining Region of Antibody for SARS-CoV-2." In 13th International Conference on Bioinformatics Models, Methods and Algorithms. SCITEPRESS - Science and Technology Publications, 2022. http://dx.doi.org/10.5220/0010823700003123.

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Figueiredo, Alexandre, Carlos Viana, and Márcia Arissawa. "Complementarity determining regions (CDR) identification in monoclonal antibodies gene sequences." In II Seminário Anual Científico e Tecnológico em Imunobiológicos. Instituto de Tecnologia em Imunobiológicos, 2014. http://dx.doi.org/10.35259/isi.sact.2014_28793.

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Fu, Tianfan, and Jimeng Sun. "Antibody Complementarity Determining Regions (CDRs) design using Constrained Energy Model." In KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. ACM, 2022. http://dx.doi.org/10.1145/3534678.3539285.

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Zimmermann, Michael T., Aris Skliros, Saras Saraswathi, Andrzej Kloczkowski, and Robert L. Jernigan. "Immunoglobulin functional motions and their effects on the complementarity determining regions." In the First ACM International Conference. ACM Press, 2010. http://dx.doi.org/10.1145/1854776.1854892.

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de Langre, E., M. P. Paidoussis, Y. Modarres-Sadeghi, and O. Doare´. "Flutter of Long Flexible Cylinders in Axial Flow." In ASME 2006 Pressure Vessels and Piping/ICPVT-11 Conference. ASMEDC, 2006. http://dx.doi.org/10.1115/pvp2006-icpvt-11-93815.

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We consider the stability of a thin flexible cylinder considered as a beam, when subjected to axial flow and fixed at the up-stream end only. A linear stability analysis of transverse motion aims at determining the risk of flutter as a function of the governing control parameters such as the flow velocity or the length of the cylinder. Stability is analysed applying a finite difference scheme in space to the equation of motion expressed in the frequency domain. It is found that, contrary to previous predictions based on simplified theories, flutter may exist for very long cylinders, provided that the free downstream end of the cylinder is well-streamlined. More generally, a limit regime is found where the length of the cylinder does not affect the characteristics of the instability, and the deformation is confined to a finite region close to the downstream end. These results are found complementary to solutions derived for shorter cylinders and are confirmed by linear computations using a Galerkin method. A link is established to similar results on long hanging cantilevered systems with internal or external flow. The limit case of vanishing bending stiffness, where the cylinder is modelled as a string, is analysed and related to previous results. A simple model for the behaviour of long cylinders is proposed.
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Aramico, Basri, Emy Huriyati, and Fatwa Sari Tetra Dewi. "Determinant Factors of Stunting and Effectiveness of Nutrition, Information, Education Interventions to Prevent Stunting in the First 1000 Days of Life: A Systematic Review." In The 7th International Conference on Public Health 2020. Masters Program in Public Health, Universitas Sebelas Maret, 2020. http://dx.doi.org/10.26911/the7thicph.03.15.

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ABSTRACT Background: In the world, stunted children reach 155 million, with a 23% stunting prevalence. Asia as a whole is the most heavily stunted region in the world. In Asia, the prevalence of stunting was 56% in 2016. In 2019, the world’s number of stunted children reached 144 million, or 21.3%. Stunted children will experience neurological problems in the first 1000 days of life. This study aimed to systematically review the determinants factors of stunting and effectiveness of nutrition, information, education interventions to prevent stunting in the first 1000 days of life. Subjects and Method: This was a systematic review study. Articles selected in this study were published in the PubMed database from January 2010 to January 2020. The articles were collected by following the Preferred Reporting Items of Systematic Reviews and Meta-Analysis (PRISMA). Results: Determinant factors of stunting in developing countries and low-middle income countries were 1) feeding practice; 2) culture and ethnicity; delayed in carrying out early initiation of breastfeeding and complementary feeding of breast milk; 3) lack of knowledge and understanding of mothers about complementary breastfeeding and infant diet; 4) family planning practice; 5) birth spacing; 6) vaccination; 7) and parent’s education. Conclusion: Handling stunting in the first 1000 days of life is a priority at the national and global levels. Efforts to handle and prevent stunting problems through increasing maternal nutrition knowledge can be done by providing information or health messages related to nutrition, from a person or institution to the community as message recipients through certain media Keywords: determinant, intervention, golden age, stunting Correspondence: Basri Aramico. Faculty of Medicine, Universitas Muhammadiyah Aceh. Email: basri.aramico@yahoo.com DOI: https://doi.org/10.26911/the7thicph.03.15
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Turner, Cameron J., Richard H. Crawford, and Matthew I. Campbell. "Mixed Integer Optimization With NURBs HyPerModels." In ASME 2007 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/detc2007-35852.

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The challenge of determining the best design in a multimodal design space with multiple local optimal solutions often challenges the best available optimization techniques. By casting the objective function of the optimization problem in the form of a Non-Uniform Rational B-spline (NURBs) metamodel, known as a HyPerModel, significant optimization advantages can be achieved, including the ability to efficiently find the global metamodel optimum solution with less computational expense than traditional approaches. This optimization strategy, defined by the HyPerOp algorithm, uses the underlying structure of a HyPerModel to intelligently select starting points for optimization runs and to identify regions of the design space that do not contain locations for the global metamodel optimum location. This paper describes the application of the HyPerOp algorithm to mixed integer programming problems and demonstrates its use with two example applications. The algorithm works with design spaces composed of continuous and integer design variables and provides a complementary approach for improved optimization capabilities.
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Asada, Takatoshi, Yosuke Hirata, Susumu Naito, Mikio Izumi, and Yukio Yoshimura. "Alpha Radioactivity Monitor Using Ionized Air Transport Technology for Large Size Uranium Waste: Part 2—Simulation Model Reinforcement for Practical Apparatus Design." In ASME 2010 13th International Conference on Environmental Remediation and Radioactive Waste Management. ASMEDC, 2010. http://dx.doi.org/10.1115/icem2010-40091.

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In alpha radioactivity measurement using ionized air transportation (AMAT), conversion from ion currents to radioactivity accurate is required. An ion transport simulation provides ways of complementarily determining conversion factors. We have developed an ion transport simulation model. Simulation results were compared with experiments with air speeds, faster than 1 m/s, achieving good agreement. In a practical AMAT apparatus, the air-flow at the alpha source may be slower than 1 m/s, and ion loss is likely to be large. Reinforcement of the ion transport model to cover the lower air speed region is effective. Ions are generated by an alpha particle in a very thin column. Since the ion density at this temporal stage is high, the recombination loss, proportional to the square of ion density, is dominant within a few milli-seconds. The spatial and temporal scales of this columnar recombination are too small for CFD simulation. We solve an ion transport equation during the period of columnar recombination with diffusion and recombination terms and incorporated the relation between ion loss and turbulent parameters into CFD. Using this model, simulations have been done for various air speeds and targets. Those for simulation results agree with experiments, showing improvement of simulation accuracy.
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