Relevant bibliographies by topics / Ligand based drug design

Contents

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

Academic literature on the topic 'Ligand based drug design'

Author: Grafiati
Published: 12 August 2021
Last updated: 25 July 2025

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Journal articles on the topic "Ligand based drug design"

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Solo, Peter, Sangdintuile Zeliang, Muluvelu Lohe, Avünü Neikha, and Akumsunep Jamir. "Structure-based Drug Design, ADME and Molecular Docking analyses of anti-viral agents against SARS-CoV-2 virus, Zika virus and Hepatitis C virus." Journal of Drug Delivery and Therapeutics 13, no. 7 (2023): 65–74. http://dx.doi.org/10.22270/jddt.v13i7.5909.

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Computer-aided drug design has been taking an increasing role in the field of modern drug discovery. These in silico computational methods are cost-effective, reduce the use of animal models in pharmacological research, and can be used to study pathogenic organisms without the need for any facilities. Based on the structure of known anti-viral agents, a total of 812 ligands have been designed. All ligands were screened for drug-likeness based on Lipinski rule of five. A database of ligands was constructed and in silico docking analyses were performed using MOE 2015.10 program against three sel
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Hajduk, Philip J., Robert P. Meadows, and Stephen W. Fesik. "NMR-based screening in drug discovery." Quarterly Reviews of Biophysics 32, no. 3 (1999): 211–40. http://dx.doi.org/10.1017/s0033583500003528.

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1. Introduction 2112. Screening methods 2132.1 Chemical shifts 2132.2 Diffusion 2142.3 Transverse relaxation 2182.4 Nuclear Overhauser effects 2183. Strategies for drug discovery and design 2213.1 Fragment-based methods 2213.1.1 Linked-fragment approach 2213.1.2 Directed combinatorial libraries 2223.1.3 Modification of high-affinity ligands 2233.1.4 Solvent mapping techniques 2233.2 High-throughput NMR-based screening 2243.3 Enzymatic assays 2264. Discovery of novel ligands 2274.1 High-affinity ligands for FKBP 2274.2 Potent inhibitors of stromelysin 2294.3 Ligands for the DNA-binding domain o
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Amitesh, Chakraborty Tushar Adhikari*. "The Basic Journey of A Molecule From Pharmacophore To Successful Drug Candidate By Computer Aided Drug Design – A Detailed Review." International Journal of Pharmaceutical Sciences 2, no. 7 (2024): 781–98. https://doi.org/10.5281/zenodo.12736660.

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Computer Aided Drug Design aims at developing <em>in &ndash; silico </em>or computer software-based techniques and methods to design and develop a drug molecule which have Pharmacological activity when binds to the desired target and have minimum side effect. For a drug to show desired biological effect, the drug target should be chosen with special emphasis such that normal body functioning does not get hampered. The bioactive conformer of the ligand molecule is chosen which have highest docking score and shows three point attachment to the receptor&rsquo;s active site. Drug designing can be
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Heller, Markus, and Horst Kessler. "NMR spectroscopy in drug design." Pure and Applied Chemistry 73, no. 9 (2001): 1429–36. http://dx.doi.org/10.1351/pac200173091429.

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The process of preclinical drug discovery consists of two steps: finding of initial hits (binding ligands to a medicinal relevant target, usually a protein) and lead optimization. Nuclear magnetic resonance spectroscopy is a powerful tool that can provide valuable information to every step of drug development. NMR is commonly used for characterizing the structure and molecular dynamics of target or ligand molecules. During the structure-based lead optimization, NMR provides insight into the structural and dynamical properties of the target-ligand complex. Recently, the use of NMR in the lead f
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Barelier, Sarah, Julien Pons, Kalle Gehring, Jean-Marc Lancelin, and Isabelle Krimm. "Ligand Specificity in Fragment-Based Drug Design." Journal of Medicinal Chemistry 53, no. 14 (2010): 5256–66. http://dx.doi.org/10.1021/jm100496j.

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Kuhn, Bernd, Jens-Uwe Peters, Markus G. Rudolph, Peter Mohr, Martin Stahl, and Andreas Tosstorff. "Details Matter in Structure-based Drug Design." CHIMIA 77, no. 7/8 (2023): 489. http://dx.doi.org/10.2533/chimia.2023.489.

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Successful structure-based drug design (SBDD) requires the optimization of interactions with the target protein and the minimization of ligand strain. Both factors are often modulated by small changes in the chemical structure which can lead to profound changes in the preferred conformation and interaction preferences of the ligand. We draw from examples of a Roche project targeting phosphodiesterase 10 to highlight that details matter in SBDD. Data mining in crystal structure databases can help to identify these sometimes subtle effects, but it is also a great resource to learn about molecula
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Apostolakist, J., and A. Caflisch. "Computational Ligand Design." Combinatorial Chemistry & High Throughput Screening 2, no. 2 (1999): 91–104. http://dx.doi.org/10.2174/1386207302666220203193501.

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Abstract: A variety of computational tools that are used to assist drug design are reviewed. Particular emphasis is given to the limitations and merits of different methodologies. Recently, a number of general methods have been proposed for clustering compounds in classes of drug­ like and non-drug-like molecules. The usefulness of this classification for drug design is discussed. The estimation of (relative) binding affinities is from a theoretical point of view the most challenging part of ligand design. We review three methods for the estimation of binding energies. Firstly, quantitative st
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Zheng, Fang, and Chang-Guo Zhan. "Computational Modeling of Solvent Effects on Protein-Ligand Interactions Using Fully Polarizable Continuum Model and Rational Drug Design." Communications in Computational Physics 13, no. 1 (2013): 31–60. http://dx.doi.org/10.4208/cicp.130911.121011s.

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AbstractThis is a brief review of the computational modeling of protein-ligand interactions using a recently developed fully polarizable continuum model (FPCM) and rational drug design. Computational modeling has become a powerful tool in understanding detailed protein-ligand interactions at molecular level and in rational drug design. To study the binding of a protein with multiple molecular species of a ligand, one must accurately determine both the relative free energies of all of the molecular species in solution and the corresponding microscopic binding free energies for all of the molecu
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Loganathan, Lakshmanan, and Karthikeyan Muthusamy. "Current Scenario in Structure and Ligand-Based Drug Design on Anti-colon Cancer Drugs." Current Pharmaceutical Design 24, no. 32 (2019): 3829–41. http://dx.doi.org/10.2174/1381612824666181114114513.

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Worldwide, colorectal cancer takes up the third position in commonly detected cancer and fourth in cancer mortality. Recent progress in molecular modeling studies has led to significant success in drug discovery using structure and ligand-based methods. This study highlights aspects of the anticancer drug design. The structure and ligand-based drug design are discussed to investigate the molecular and quantum mechanics in anti-cancer drugs. Recent advances in anticancer agent identification driven by structural and molecular insights are presented. As a result, the recent advances in the field
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De, Baishakhi, Koushik Bhandari, Francisco J. B. Mendonça, Marcus T. Scotti, and Luciana Scotti. "Computational Studies in Drug Design Against Cancer." Anti-Cancer Agents in Medicinal Chemistry 19, no. 5 (2019): 587–91. http://dx.doi.org/10.2174/1871520618666180911125700.

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Background: The application of in silico tools in the development of anti cancer drugs. Objective: The summing of different computer aided drug design approaches that have been applied in the development of anti cancer drugs. Methods: Structure based, ligand based, hybrid protein-ligand pharmacophore methods, Homology modeling, molecular docking aids in different steps of drug discovery pipeline with considerable saving in time and expenditure. In silico tools also find applications in the domain of cancer drug development. Results: Structure-based pharmacophore modeling aided in the identific
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Dissertations / Theses on the topic "Ligand based drug design"

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Nilapwar, S. "Characterization and exploitation of protein ligand interactions for structure based drug design." Thesis, University College London (University of London), 2009. http://discovery.ucl.ac.uk/19034/.

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Most characterised protein-small molecule interactions that display a change in heat capacity (\bigtriangleupCp) occur with a negative \bigtriangleupCp value. This is often attributed to solvent reorganisation from reduction in solvent accessible apolar surface area accompanying complex formation. Positive \bigtriangleupCp values have not been widely reported and could typically be attributed to an increased solvent accessible apolar surface area, desolvation of polar surface area or structural transitions in the biomolecular complex. Heat shock protein-90 (Hsp90) is one of the abundant and im
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Li, Huameng. "Multiple Ligand Simultaneous Docking (MLSD) and Its Applications to Fragment Based Drug Design and Drug Repositioning." The Ohio State University, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=osu1324606149.

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Davis, Caroline M. "Investigation and Characterisation of Protein-Ligand Interactions: SRA-Ribonucleic Acid Recognition and Anti-Microbial Drug Discovery." University of Akron / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=akron1437779075.

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Kumari, Vandana. "Structure-Based Computer Aided Drug Design and Analysis for Different Disease Targets." The Ohio State University, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=osu1311612599.

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Mukherjee, Prasenjit. "Use of molecular modeling tools in the elucidation of ligand-macromolecular interactions and applications in structure-based drug design /." Full text available from ProQuest UM Digital Dissertations, 2008. http://0-proquest.umi.com.umiss.lib.olemiss.edu/pqdweb?index=0&did=1850501401&SrchMode=1&sid=4&Fmt=2&VInst=PROD&VType=PQD&RQT=309&VName=PQD&TS=1277323802&clientId=22256.

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Thesis (Ph.D.)--University of Mississippi, 2008.<br>Typescript. Vita. Major professor: Mitchell A. Avery Includes bibliographical references (leaves 246-259). Also available online via ProQuest to authorized users.
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Park, In-Hee. "Computational Simulations of Protein-Ligand Molecular Recognition via Enhanced Samplings, Free Energy Calculations and Applications to Structure-Based Drug Design." The Ohio State University, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=osu1276745410.

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Zephyr, Jacqueto. "Robust Drug Design Strategies and Discovery Targeting Viral Proteases." eScholarship@UMMS, 2021. https://escholarship.umassmed.edu/gsbs_diss/1157.

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Viral proteases play crucial roles in the life cycle and maturation of many viruses by processing the viral polyprotein after translation and in some cases cleaving host proteins associated with the immune response. The essential role of viral proteases makes them attractive therapeutic targets. In this thesis, I provide an introductory summary of viral proteases, their structure, mechanism, and inhibition, while the breadth of this thesis focuses on the Hepatitis C virus (HCV) NS3/4A and Zika virus (ZIKV) NS2B/NS3 viral proteases. HCV NS3/4A protease inhibitors (PIs) have become a mainstay in
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Dean, Sondra Faye. "Ligand-associated conformational changes of a flexible enzyme captured by harnessing the power of allostery." Thesis, University of Iowa, 2016. https://ir.uiowa.edu/etd/2201.

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Flexible enzymes are notoriously a bane to structure-based drug design and discovery efforts. This is because no single structure can accurately capture the vast array of conformations that exist in solution and many are subject to ligand-associated structural changes that are difficult to predict. Glutamate racemase (GR) – an antibiotic drug discovery target involved in cell wall biosynthesis – is one such enzyme that has eluded basic structure-based drug design and discovery efforts due to these flexibility issues. In this study, our focus is on overcoming the impediment of unpredictable lig
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Barelier, Sarah. "Probing protein-small molecule interactions by Nuclear Magnetic Resonance : towards a better understanding of the Fragment-Based Drug Design methodology." Thesis, Lyon 1, 2010. http://www.theses.fr/2010LYO10222.

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La méthode de conception de médicaments à partir de molécules « fragments » (connue sous le nom de « Fragment-Based Drug Design ») a été proposée au milieu des années 90, et a depuis été reconnue comme une alternative tangible aux techniques plus classiques de recherche de médicaments telles que le criblage à haut débit par exemple. La méthode des fragments consiste à cribler un petit nombre (&lt; 10000) de composés organiques de faible poids moléculaire (&lt; 300 Da) afin de détecter ceux qui se lient à la cible (protéine ou acides nucléiques). Du fait de leur faible complexité, les fragments
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AIROLDI, CRISTINA. "Development of new potential antitumor drugs based on Ras protein inhibition." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2007. http://hdl.handle.net/10281/116562.

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Because of their role in oncogenesis, inhibition of Ras proteins, particularly of their tumorigenic variants, represents today one of the principal strategies finalized to the obtainment of new antitumoral therapies. Among the different possible approaches, one of the most innovative and less explored is represented by the inhibition of this protein activation, key event for the explication of their biological activity, but also for the Ras-induced tumoral cell transformation. Objective of this thesis has been the development of new small molecules able to inhibit, at least partially (total i
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Books on the topic "Ligand based drug design"

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Merz, Kenneth M. Drug design: Structure- and ligand-based approaches. Cambridge University Press, 2010.

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1959-, Merz Kenneth M., Ringe Dagmar, and Reynolds Charles H. 1957-, eds. Drug design: Structure and ligand-based approaches. Cambridge University Press, 2010.

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Paul, Leff, ed. Receptor-based drug design. M. Dekker, 1998.

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Martin, Patrick N. Design, synthesis, kinetics and biological evaluation of acridine baseed DNA intercalators. University College Dublin, 1996.

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Hans-Joachim, Böhm, and Gubernator Klaus, eds. Structure-based ligand design. Wiley-VCH, 1998.

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Ballante, Flavio, ed. Protein-Ligand Interactions and Drug Design. Springer US, 2021. http://dx.doi.org/10.1007/978-1-0716-1209-5.

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Didier, Rognan, ed. Ligand design for G protein-coupled receptors. Wiley, 2006.

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M, Rami Reddy, and Erion Mark D, eds. Free energy calculations in rational drug design. Kluwer Academic/Plenum Publishers, 2001.

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Hans-Joachim, Böhm, and Schneider Gisbert 1965-, eds. Protein-ligand interactions from molecular recognition to drug design. Wiley-VCH, 2003.

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Otvos, Laszlo, ed. Peptide-Based Drug Design. Humana Press, 2008. http://dx.doi.org/10.1007/978-1-59745-419-3.

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Book chapters on the topic "Ligand based drug design"

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Gubernator, K., C. Broger, D. Bur, et al. "Structure-Based Ligand Design." In Computer Aided Drug Design in Industrial Research. Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/978-3-662-03141-4_4.

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Palazzesi, Ferruccio, and Alfonso Pozzan. "Deep Learning Applied to Ligand-Based." In Artificial Intelligence in Drug Design. Springer US, 2021. http://dx.doi.org/10.1007/978-1-0716-1787-8_12.

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Wade, R. C., and S. Lüdemann. "Computational Strategies for Modeling Receptor Flexibility in Studies of Receptor-Ligand Interactions." In Structure-Based Drug Design. Springer Netherlands, 1998. http://dx.doi.org/10.1007/978-94-015-9028-0_4.

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Wade, R. C., V. Sobolev, A. R. Ortiz, and G. Peters. "Computational Approaches to Modeling Receptor Flexibility Upon Ligand Binding: Application to Interfacially Activated Enzymes." In Structure-Based Drug Design. Springer Netherlands, 1998. http://dx.doi.org/10.1007/978-94-015-9028-0_19.

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Aberer, Karl, Klemens Hemm, and Manfred Hendlich. "Data Management for Ligand-Based Drug Design." In Theoretical and Computational Methods in Genome Research. Springer US, 1997. http://dx.doi.org/10.1007/978-1-4615-5903-0_16.

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Bortolato, Andrea, Francesca Deflorian, Giuseppe Deganutti, Davide Sabbadin, Stefano Moro, and Jonathan S. Mason. "Molecular Dynamics Applications to GPCR Ligand Design." In Biomolecular Simulations in Structure-Based Drug Discovery. Wiley-VCH Verlag GmbH & Co. KGaA, 2018. http://dx.doi.org/10.1002/9783527806836.ch9.

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Cremer, Julian, Tuan Le, Djork-Arné Clevert, and Kristof T. Schütt. "Latent-Conditioned Equivariant Diffusion for Structure-Based De Novo Ligand Generation." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-72381-0_4.

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AbstractWe propose PoLiGenX for de novo ligand design using latent-conditioned, target-aware equivariant diffusion. Our model leverages the conditioning of the generation process on reference molecules within a protein pocket to produce shape-similar de novo ligands that can be used for target-aware hit expansion and hit optimization. The results of our study showcase the efficacy of PoLiGenX in ligand design. Docking scores indicate that the generated ligands exhibit superior binding affinity compared to the reference molecule while preserving the shape. At the same time, our model maintains
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Abdo, Ammar, and Naomie Salim. "Ligand-Based Virtual Screening Using Bayesian Inference Network." In Library Design, Search Methods, and Applications of Fragment-Based Drug Design. American Chemical Society, 2011. http://dx.doi.org/10.1021/bk-2011-1076.ch004.

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Hawkins, Paul C. D., and Gunther Stahl. "Ligand-Based Methods in GPCR Computer-Aided Drug Design." In Methods in Molecular Biology. Springer New York, 2017. http://dx.doi.org/10.1007/978-1-4939-7465-8_18.

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Tollenaere, J. P. "The Role of Structure-Based Ligand Design in Industrial Pharmaceutical Research." In Computer Aided Drug Design in Industrial Research. Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/978-3-662-03141-4_10.

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Conference papers on the topic "Ligand based drug design"

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Hussein, Layth, P. Ilanchezhian, Praveen Kumar Hiremath, V. Sivakumar, and S. Senthil Kumar. "Dual Channel based Convolutional Neural Network based Protein–Ligand Interaction Prediction for Drug Design." In 2024 First International Conference on Software, Systems and Information Technology (SSITCON). IEEE, 2024. https://doi.org/10.1109/ssitcon62437.2024.10796432.

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Hunge, Sudhir S., Aman Rajendra Yadao, Varsha Tekdas Shewate, Prakash Namdeorao Lalsare, Shiji Prasannan, and Kothuri Parashu Ramulu. "Advancing Drug Discovery through a Deep Learning-Based Protein-Ligand Interaction Prediction Tool." In 2025 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE). IEEE, 2025. https://doi.org/10.1109/iitcee64140.2025.10915324.

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Hu, Chenhui, Kun Li, Longtao Hu, Yida Xiong, Xiantao Cai, and Wenbin Hu. "Collaborative Drug Design Based on A Drug-Drug Interaction-Guided Diffusion Model." In 2025 28th International Conference on Computer Supported Cooperative Work in Design (CSCWD). IEEE, 2025. https://doi.org/10.1109/cscwd64889.2025.11033225.

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Chaudhary, Shashank, Devyani Chudasama, Jaiprakash Verma, and Swati Jain. "Analysing Scoring Functions for Molecular Structure-based Drug Design." In 2024 First International Conference on Technological Innovations and Advance Computing (TIACOMP). IEEE, 2024. http://dx.doi.org/10.1109/tiacomp64125.2024.00036.

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Deng, Yinghui, and Yuanling Chen. "Design of Drug Detection System Based on Internet of Things Sensors." In 2024 International Conference on Intelligent Computing and Robotics (ICICR). IEEE, 2024. http://dx.doi.org/10.1109/icicr61203.2024.00031.

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Zhang, Saikun, Jun Ji, Jian Cui, and Weidong Jia. "Design of a tablet drug filling production line system based on S7-1200." In 3rd International Conference on Advanced Manufacturing Technology and Manufacturing Systems (ICAMTMS 2024), edited by Dailin Zhang and Ke Zhang. SPIE, 2024. http://dx.doi.org/10.1117/12.3038801.

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Zeng, Xue, Tingli Pan, and Yingqian Xu. "Design of a Drug Development Tomography System Based on Multi-modal Data Fusion." In 2025 International Conference on Electrical Drives, Power Electronics & Engineering (EDPEE). IEEE, 2025. https://doi.org/10.1109/edpee65754.2025.00143.

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Liu, Haoran, Xiaoli Lin, Jing Hu, and Xiaolong Zhang. "A Multi Target Drug Design Method Based on Target Protein Sequence and Feature Similarity." In 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2024. https://doi.org/10.1109/bibm62325.2024.10822055.

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Deng, Jiafa, Hanhong Tan, Mingxin Wang, Jinteng Guan, Yulin Wang, and Lingwei Li. "Design and Implementation of Intelligent Drug Delivery Robot Based on ARM for Face Comparison." In 2024 International Conference on Computing, Robotics and System Sciences (ICRSS). IEEE, 2024. https://doi.org/10.1109/icrss65752.2024.00017.

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"Deep Belief Networks for Ligand-Based Virtual Screening of Drug Design." In 2016 the 6th International Workshop on Computer Science and Engineering. WCSE, 2016. http://dx.doi.org/10.18178/wcse.2016.06.115.

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Reports on the topic "Ligand based drug design"

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DeLucas, Lawrence J. Crystallization, X-Ray Structure Determination and Structure-Based Drug Design for Targeted Malarial Enzymes. Defense Technical Information Center, 1998. http://dx.doi.org/10.21236/ada360337.

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Montal, Mauricio. Combinatorial Strategies and Hypothesis-Based Drug Design in Drug Discovery Targeted to the Protease and Channel Activities of Botulinum Toxin A. Defense Technical Information Center, 2002. http://dx.doi.org/10.21236/ada400463.

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Altstein, Miriam, and Ronald J. Nachman. Rational Design of Insect Control Agent Prototypes Based on Pyrokinin/PBAN Neuropeptide Antagonists. United States Department of Agriculture, 2013. http://dx.doi.org/10.32747/2013.7593398.bard.

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The general objective of this study was to develop rationally designed mimetic antagonists (and agonists) of the PK/PBAN Np class with enhanced bio-stability and bioavailability as prototypes for effective and environmentally friendly pest insect management agents. The PK/PBAN family is a multifunctional group of Nps that mediates key functions in insects (sex pheromone biosynthesis, cuticular melanization, myotropic activity, diapause and pupal development) and is, therefore, of high scientific and applied interest. The objectives of the current study were: (i) to identify an antagonist bioph
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Rafaeli, Ada, and Russell Jurenka. Molecular Characterization of PBAN G-protein Coupled Receptors in Moth Pest Species: Design of Antagonists. United States Department of Agriculture, 2012. http://dx.doi.org/10.32747/2012.7593390.bard.

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The proposed research was directed at determining the activation/binding domains and gene regulation of the PBAN-R’s thereby providing information for the design and screening of potential PBAN-R-blockers and to indicate possible ways of preventing the process from proceeding to its completion. Our specific aims included: (1) The identification of the PBAN-R binding domain by a combination of: (a) in silico modeling studies for identifying specific amino-acid side chains that are likely to be involved in binding PBAN with the receptor and; (b) bioassays to verify the modeling studies using mut
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Kumar, Aishani, Thendral Yalini, and Sunil Kumar C. Unlocking Cellular Control: The Promise of PROTACs in Disease Intervention. Science Reviews - Biology, 2024. http://dx.doi.org/10.57098/scirevs.biology.3.2.1.

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The discovery of proteolysis-targeting chimeras (PROTACs) is among the most exciting and promising avenues in cancer therapy. These fascinating compounds signify a paradigm shift from traditional approaches to medication development, offering a new idea that leverages the complexities of biological mechanisms to accomplish highly focused degradation of particular proteins implicated in pathological processes. This novel strategy has the potential to address a number of drawbacks with conventional therapy techniques, such as the development of drug resistance and unexpected adverse effects resu
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Matthews, Lisa, Guanming Wu, Robin Haw, et al. Illuminating Dark Proteins using Reactome Pathways. Reactome, 2022. http://dx.doi.org/10.3180/poster/20221027matthews.

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Diseases are often the consequence of proteins or protein complexes that are non-functional or that function improperly. An active area of research has focused on the identification of molecules that can interact with defective proteins and restore their function. While 22% percent of human proteins are estimated to be druggable, less than fifteen percent are targeted by FDA-approved drugs, and the vast majority of untargeted proteins are understudied or so-called "dark" proteins. Elucidation of the function of these dark proteins, particularly those in commonly drug-targeted protein families,
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Yedidia, I., H. Senderowitz, and A. O. Charkowski. Small molecule cocktails designed to impair virulence targets in soft rot Erwinias. United States-Israel Binational Agricultural Research and Development Fund, 2020. http://dx.doi.org/10.32747/2020.8134165.bard.

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Chemical signaling between beneficial or pathogenic bacteria and plants is a central factor in determining the outcome of plant-microbe interactions. Pectobacterium and Dickeya (soft rot Erwinias) are the major cause of soft rot, stem rot, and blackleg formed on potato and ornamentals, currently with no effective control. Our major aim was to establish and study specific bacterial genes/proteins as targets for anti-virulence compounds, by combining drug design tools and bioinformatics with experimental work. The approach allowed us to identify and test compounds (small molecules) that specific
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8

Eyal, Yoram, and Sheila McCormick. Molecular Mechanisms of Pollen-Pistil Interactions in Interspecific Crossing Barriers in the Tomato Family. United States Department of Agriculture, 2000. http://dx.doi.org/10.32747/2000.7573076.bard.

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During the evolutionary process of speciation in plants, naturally occurring barriers to reproduction have developed that affect the transfer of genes within and between related species. These barriers can occur at several different levels beginning with pollination-barriers and ending with hybrid-breakdown. The interaction between pollen and pistils presents one of the major barriers to intra- and inter-specific crosses and is the focus of this research project. Our long-term goal in this research proposal was defined to resolve questions on recognition and communication during pollen-pistil
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Altstein, Miriam, and Ronald Nachman. Rationally designed insect neuropeptide agonists and antagonists: application for the characterization of the pyrokinin/Pban mechanisms of action in insects. United States Department of Agriculture, 2006. http://dx.doi.org/10.32747/2006.7587235.bard.

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The general objective of this BARD project focused on rationally designed insect neuropeptide (NP) agonists and antagonists, their application for the characterization of the mechanisms of action of the pyrokinin/PBAN (PK-PBAN) family and the development of biostable, bioavailable versions that can provide the basis for development of novel, environmentally-friendly pest insect control agents. The specific objectives of the study, as originally proposed, were to: (i) Test stimulatory potencies of rationally designed backbone cyclic (BBC) peptides on pheromonotropic, melanotropic, myotropic and
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Tang, Jiqin, Gong Zhang, Jinxiao Xing, Ying Yu, and Tao Han. Network Meta-analysis of Heat-clearing and Detoxifying Oral Liquid of Chinese Medicines in Treatment of Children’s Hand-foot-mouth Disease：a protocol for systematic review. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2022. http://dx.doi.org/10.37766/inplasy2022.1.0032.

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Review question / Objective: The type of study was clinical randomized controlled trial (RCT). The object of study is the patients with HFMD. There is no limit to gender and race. In the case of clear diagnosis standard, curative effect judgment standard and consistent baseline treatment, the experimental group was treated with pure oral liquid of traditional Chinese medicine(A: Fuganlin oral liquid, B: huangzhihua oral liquid, C: Lanqin oral liquid, D: antiviral oral liquid, E: Huangqin oral liquid, F: Pudilan oral liquid, G: Shuanghuanglian oral liquid.)and the control group was treated with
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