Relevant bibliographies by topics / Quantitative structure-activity relationship study

Contents

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

Academic literature on the topic 'Quantitative structure-activity relationship study'

Author: Grafiati
Published: 5 June 2025
Last updated: 1 August 2025

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Journal articles on the topic "Quantitative structure-activity relationship study"

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Kim, Hyun-Ock, and Eunice C. Y. Li-Chan. "Quantitative Structure−Activity Relationship Study of Bitter Peptides." Journal of Agricultural and Food Chemistry 54, no. 26 (2006): 10102–11. http://dx.doi.org/10.1021/jf062422j.

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Ungwitayatorn, J., M. Pickert, and A. W. Frahm. "Quantitative structure-activity relationship (QSAR) study of polyhydroxyxanthones." Pharmaceutica Acta Helvetiae 72, no. 1 (1997): 23–29. http://dx.doi.org/10.1016/s0031-6865(96)00043-x.

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Minovski, Nikola, Marjan Vračko, and Tom Šolmajer. "Quantitative structure–activity relationship study of antitubercular fluoroquinolones." Molecular Diversity 15, no. 2 (2010): 417–26. http://dx.doi.org/10.1007/s11030-010-9238-5.

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Basheerulla, Shaik, Kaushal Tripti, and K. Agrawal Vijay. "Quantitative structure activity relationship studies on a series of 4-pyridones as antimalerial agents." Journal of Indian Chemical Society 93, Jul 2016 (2016): 871–76. https://doi.org/10.5281/zenodo.5638287.

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Department of Applied Sciences, NITTTR, Shamla Hills, Bhopal-462 002, Madhya Pradesh, India E-mail : basheerulla.81@gmail.com Department of Chemistry, Technocrats Institute of Technology and Science, Bhopal, Madhya Pradesh, India Department of Chemistry, A. P. S. University, Rewa-486 003, Madhya Pradesh, India <em>E-mail</em> : apsvka@yahoo.co.in Quantitative structure-activity relationship (QSAR) studies have been performed on a series of twenty four (24) 4-pyridone analogues as antimalarial agents. A genetic algorithm multiple linear regression (GA-MLR) analysis has shown that three-variable
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Xie, Aihua, Chenzhong Liao, Zhibin Li, et al. "Quantitative Structure-Activity Relationship Study of Histone Deacetylase Inhibitors." Current Medicinal Chemistry-Anti-Cancer Agents 4, no. 3 (2004): 273–99. http://dx.doi.org/10.2174/1568011043352948.

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Wang, P., X. Xu, S. Liao, et al. "Quantitative structure–activity relationship study of amide mosquito repellents." SAR and QSAR in Environmental Research 28, no. 4 (2017): 341–53. http://dx.doi.org/10.1080/1062936x.2017.1320585.

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ZHAO, Jinsong. "3D-quantitative structure-activity relationship study of organophosphate compounds." Chinese Science Bulletin 49, no. 3 (2004): 240. http://dx.doi.org/10.1360/03wb0156.

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Zhao, Jinsong, Bin Wang, Zhaoxia Dai, Xiaodong Wang, Lingren Kong, and Liansheng Wang. "3D-quantitative structure-activity relationship study of organophosphate compounds." Chinese Science Bulletin 49, no. 3 (2004): 240–45. http://dx.doi.org/10.1007/bf03182805.

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Babbar, R., J. K. Gupta, and S. P. Gupta. "Quantitative Structure-Activity Relationship Study on Some Dihydropteridine Reductase Inhibitors." Journal of Enzyme Inhibition 2, no. 4 (1989): 231–37. http://dx.doi.org/10.3109/14756368909088476.

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Gupta, S. P., and J. K. Gupta. "Quantitative Structure-Activity Relationship Study on Some 5-Lipoxygenase Inhibitors." Journal of Enzyme Inhibition 3, no. 3 (1990): 179–88. http://dx.doi.org/10.3109/14756369009035835.

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Dissertations / Theses on the topic "Quantitative structure-activity relationship study"

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Smith, Mark David. "A quantitative structure-activity relationship (QSAR) study of the Ames mutagenicity assay." Thesis, University of Portsmouth, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.343333.

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In-vitro mutagenicity assays have traditionally been used for first line identification of potential genotoxic hazard, purporting to chemical carcinogenesis and heritable genetic damage. The recent advances m combinatorial chemistry and high throughput screening technologies have led to a massive explosion in numbers of possible therapeutic candidates being produced at the early stages of drug discovery. This rapid increase in the number of chemicals to be classified results in a greater need for to acquire alternative methods for the prediction of toxicity. Quantitative StructureActivity Rela
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Gooch, Carolyn A. "Quantitative structure-activity relationships : a biophysical, chemical and calorimetric study." Thesis, Royal Holloway, University of London, 1988. http://repository.royalholloway.ac.uk/items/26719d55-b208-4995-bef0-92e4f0f80c0e/1/.

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Quantitative structure-activity relationships (QSAR) rationalize interrelation between molecular structure and biological response in terms of either physicochemical parameters, as in linear free energy relationships (LFER), or via purely empirical parameters, as is the case for De Novo schemes. In LFER the leading process is often the partitioning of a compound between two solvent phases, taken to represent the transfer of a drug molecule across a biological membrane. This study has investigated the partitioning behaviour of three series of hydroxybenzoate esters, viz. o-, m- and predominantl
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Diaz-Perez, Maria-Jose. "Quantitative structure-activity relationship (QSAR) study of the effect of steroids on DNA replication." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp03/NQ50291.pdf.

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Wang, Shaomeng. "Quantitative structure activity relationship study of anti-Mycobacterium avium agents and the calculation of some physico-chemical properties of organic compounds." Case Western Reserve University School of Graduate Studies / OhioLINK, 1993. http://rave.ohiolink.edu/etdc/view?acc_num=case1056656561.

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Yin, Hong. "Kriging model approach to modeling study on relationship between molecular quantitative structures and chemical properties." HKBU Institutional Repository, 2005. http://repository.hkbu.edu.hk/etd_ra/598.

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Höjlind, Jonatan, and Wael Shehadeh. "Sustainability performance & Ownership structure on the Nordic market : A quantitative study on the relationship between the two." Thesis, Umeå universitet, Företagsekonomi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-185316.

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This thesis investigates the relationship between sustainability performance and ownership structure, measured using the ESG (environmental, social and governance) rating and ownership structure divided into four different ownerships (family/founder, institutional, corporate and governmental). In the pursuit of analysing the relationship between the ESG rating and the ownership structure, this study investigates publicly listed companies within the Nordic countries.This thesis has the aim of examining if a publicly listed company can use sustainability ratings and ownership structure, to under
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Brattlöf, Linus, and Ida Mbenga. "The Relationship Between Corporate Taxation And R&D Investments : A quantitative study of R&D expenditure in U.S. firms when subjected to reductions in corporate taxation." Thesis, Jönköping University, IHH, Företagsekonomi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-52772.

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Corporate taxation is a very politicized topic, and policymakers have different perspectives on what level of corporate tax rate yields the optimal outcome for research and innovation activity. The argument is divided where one side believes that corporate taxation and R&amp;D activity has a negative relationship, which implies that a decrease in corporate taxation yields a better outcome for firms’ R&amp;D activity. Whilst the other side believes that there exists a positive relationship, implying that the prevailing strategy is to increase corporate taxes to further encourage R&amp;D activit
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Li, Ju-Yun. "Quantitative structure-activity relationship studies in medicinal chemistry." Case Western Reserve University School of Graduate Studies / OhioLINK, 1995. http://rave.ohiolink.edu/etdc/view?acc_num=case1062596938.

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Reddy, Badinehal Asrith. "COMMERCIALIZATION OF A QUANTITATIVE STRUCTURE ACTIVITY RELATIONSHIP TOOL - SARCHITECT." Case Western Reserve University School of Graduate Studies / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=case1295637833.

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Ren, Xin. "Quantitative structure-activity relationship based virtual screening for novel androgen receptor antagonists." Thesis, University of British Columbia, 2012. http://hdl.handle.net/2429/43293.

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Androgen receptor (AR) plays a critical role in prostate cancer development and progression. All current therapeutic AR inhibitors modulate the receptor via direct binding to its Hormone Binding Site (HBS). Despite the identification of other small molecule binding areas on the AR surface including Activation Function 2 (AF2), binding function 3 (BF3), and N-terminal domain (NTD), HBS continues to be the major target site for AR antagonists (even though this site is prone to resistant mutations). Thus, there is a high need for the identification and development of novel antagonists targeting H
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Books on the topic "Quantitative structure-activity relationship study"

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Smith, Mark David. A quantitative structure-activity relationship (QSAR) study of the Ames mutagenicity assay. [University of Portsmouth?], 2000.

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Dastmalchi, Siavoush, Maryam Hamzeh-Mivehroud, and Babak Sokouti. Quantitative Structure–Activity Relationship. CRC Press, 2018. http://dx.doi.org/10.1201/9781351113076.

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name, No. Quantitative structure-activity relationship (QSAR) models of mutagens and carcinogens. CRC Press, 2002.

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Romualdo, Benigni, ed. Quantitative structure-activity relationship (QSAR) models of mutagens and carcinogens. CRC Press, 2003.

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Martin, Yvonne Connolly. Quantitative drug design: A critical introduction. 2nd ed. CRC Press/Taylor & Francis, 2010.

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Martin, Yvonne Connolly. Quantitative drug design: A critical introduction. 2nd ed. Taylor & Francis, 2010.

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Martin, Yvonne Connolly. Quantitative drug design: A critical introduction. 2nd ed. Taylor & Francis, 2010.

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Roy, Kunal. Quantitative structure-activity relationships in drug design, predictive toxicology, and risk assessment. Medical Information Science Reference, an imprint of IGI Global, 2015.

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1956-, Devillers J., and Balaban Alexandru T, eds. Topological indices and related descriptors in QSAR and QSPR. Gordon and Breach, 1999.

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European, Symposium on Quantitative Structure-Activity Relationships (6th 1986 Portoroz Slovenia). QSAR in drug design and toxicology: Proceedings of the Sixth European Symposium on Quantitative St[r]ucture-Activity Relationships, Portorož - Portorose (Yugoslavia), 22-26 September 1986. Elsevier, 1987.

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Book chapters on the topic "Quantitative structure-activity relationship study"

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Székács, András, Barna Bordás, György Matolcsy, and Bruce D. Hammock. "Quantitative Structure—Activity Relationship Study of Aromatic Trifluoromethyl Ketones." In ACS Symposium Series. American Chemical Society, 1989. http://dx.doi.org/10.1021/bk-1989-0413.ch012.

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Sarkar, Indrani, Sanjay Goswami, and Paushali Majumder. "Quantitative Structure–Activity Relationship (QSAR) Study of Some DNA-Intercalating Anticancer Drugs." In Computational Advancement in Communication Circuits and Systems. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-8687-9_32.

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Magdó, Ildikó, István Laszlovszky, Tibor Ács, and György Domány. "3D Quantitative Structure-Activity Relationship (COMFA) Study of Heterocyclic Arylpiperazine Derivatives with 5-HT1A Activity." In Molecular Modeling and Prediction of Bioactivity. Springer US, 2000. http://dx.doi.org/10.1007/978-1-4615-4141-7_66.

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Das, Nilima Rani, and P. Ganga Raju Achary. "Quantitative Structure–Activity Relationships (QSARs) Study for KCNQ Genes (Kv7) and Drug Discovery." In Lecture Notes in Networks and Systems. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-0695-3_8.

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Rogic, Sanja, Miljana Nukic, and Zarko Gagic. "Quantitative Structure-Activity Relationship Study of DPP-4 Enzyme Inhibitors as Drugs in Therapy of Type 2 Diabetes Mellitus." In IFMBE Proceedings. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-73909-6_56.

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Saxena, Anil K. "Quantitative Structure Interaction Activity Relationship (QSIAR) as a Novel Approach to Drug Design: A Case Study of Anti-tubercular Agents." In Global Trends in Health, Technology and Management. Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-75457-9_1.

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Bajorath, Jürgen. "Quantitative Structure Activity Relationship." In Encyclopedia of Cancer. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-27841-9_4882-2.

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Bajorath, Jürgen. "Quantitative Structure Activity Relationship." In Encyclopedia of Cancer. Springer Berlin Heidelberg, 2017. http://dx.doi.org/10.1007/978-3-662-46875-3_4882.

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Bajorath, Jürgen. "Quantitative Structure Activity Relationship." In Encyclopedia of Cancer. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-16483-5_4882.

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Dastmalchi, Siavoush, Maryam Hamzeh-Mivehroud, and Babak Sokouti. "QSAR at a Glance." In Quantitative Structure–Activity Relationship. CRC Press, 2018. http://dx.doi.org/10.1201/9781351113076-1.

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Conference papers on the topic "Quantitative structure-activity relationship study"

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Agarwal, Abhishek, Pradeep Rathore, Vinay Jain, and Beena Rai. "In-silico Model for Predicting the Corrosion Inhibition Efficiency of Steel Inhibitors." In CORROSION 2019. NACE International, 2019. https://doi.org/10.5006/c2019-13329.

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Abstract Quantitative Structure-Activity Relationships (QSAR) based models have been widely used for predicting corrosion inhibition performance of metals. However, one of the major limitations in these studies is that the authors have restricted themselves to use only a single class of molecules having similar molecular structure. In this study, a computational end-to-end framework was developed to investigate the properties of organic corrosion inhibitors which are responsible for inhibition of steel in acidic solution. The framework consists of modules like data preprocessing, descriptor se
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Bendiksen, B., and J. S. Gill. "Molecular Modeling in Scale Control - An Experimental Verification and ITS Limitations." In CORROSION 1996. NACE International, 1996. https://doi.org/10.5006/c1996-96164.

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Abstract This work centers on the use of molecular modeling to study scale inhibition of alkaline earth scales such as calcium carbonate and calcium sulfate. The molecular modeling studies have shown the interaction of phosphonates with varied crystal faces of the scales. The software makes it possible to visualize the important crystal faces and match the geometry of the inhibitor to the crystal planes that determine the morphology of the resulting solid. Molecular Dynamics (MD) calculations can reveal specific interactions of inhibitors with scale surfaces. Quantitative Structure Activity Re
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Kouznetsov, D. L., O. Yu Podkopaeva, Yu V. Chizhov, G. P. Antroshenko, S. M. Shevchenko, and A. I. Altsybeeva. "Relationship between the Structure and Activity of Volatile Corrosion Inhibitors Derived from Cyclic Amines." In CORROSION 2001. NACE International, 2001. https://doi.org/10.5006/c2001-01192.

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Abstract Products of the condensation reaction between morpholine or cyclohexylamine and benzaldehydes have been used extensively as volatile inhibitors of atmospheric corrosion, as well as components of lubricant compositions, biocides and preservatives in automotive cooling liquids and fuels. In this study, we examined the relationship between the electronic structure and inhibition performance of the compounds in an atmospheric corrosion test. The condensation products have significantly lower vapor pressure than parent amines, resulting in longer residence times of inhibitor species at a m
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Carpén, Leena, Petri Kinnunen, Tero Hakkarainen, et al. "Prediction of Corrosion Risk of Stainless Steel in Concentrated Solutions." In CORROSION 2006. NACE International, 2006. https://doi.org/10.5006/c2006-06410.

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Abstract Precipitation of sulfate in concentrated solutions may enhance the corrosion risk of stainless steels. The aim of this study is to develop methods and procedures to clarify the risk of stainless steels to localized corrosion in concentrated solutions. In this part of the study the dependence of pitting corrosion susceptibility of stainless steel UNS S30400 (AISI 304, EN 1.4301) on chloride concentration, sulfate concentration and temperature is studied experimentally using potentiodynamic measurements. The special attention is in concentrated solutions which can form due to extensive
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Du, Zhenjiao, and Yonghui Li. "Quantitative Structure-activity Relationship Study on Antioxidant Dipeptides." In 2022 AOCS Annual Meeting & Expo. American Oil Chemists' Society (AOCS), 2022. http://dx.doi.org/10.21748/cpyc1755.

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Antioxidative peptides have attracted increasing interest of researchers and consumers. Compared to wet chemistry methods, quantitative structure-activity relationship (QSAR) analysis as a in silicon method can be more efficient and cost effective and has been successfully applied to activity prediction of angiotensin I-converting enzyme inhibitory activity and bitterness of peptides. However, there are only few QSAR studies on antioxidative activity, particularly for dipeptides which have demonstrated ideal absorption ability in intestinal compared to larger peptides. This study aimed to cond
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Triatmaja, K., SY Prabawati, and PD Widiakongko. "QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP (QSAR) STUDY OF EUGENOL DERIVATIVES AS ANTIOXIDANT COMPOUNDS." In International conference on food, nutrition, health and lifestyle. The International Institute of Knowledge Management, 2022. http://dx.doi.org/10.17501/26827026.2022.1102.

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Li Ma, Tao Wang, and Xu Liu. "A study on quantitative structure activity relationship between organic phosphorus pesticides and marine microalgae." In 2011 International Symposium on Water Resource and Environmental Protection (ISWREP). IEEE, 2011. http://dx.doi.org/10.1109/iswrep.2011.5893658.

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Kimani, Njogu, Josphat Matasyoh, Marcel Kaiser, Mauro Nogueira, Gustavo Trossini, and Thomas Schmidt. "An extended study on quantitative structure-antitrypanosomal activity relationships of sesquiterpene lactones." In 4th International Electronic Conference on Medicinal Chemistry. MDPI, 2018. http://dx.doi.org/10.3390/ecmc-4-05591.

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Usmanov, Durbek, Bakhtiyor Rasulev, and Sardor Narzullaev. "A Study of the Anticancer Activity against MCF-7 Cell Lines and Quantitative Structure-Activity Relationship Analysis on a Series of Compounds." In MOL2NET'21, Conference on Molecular, Biomedical & Computational Sciences and Engineering, 7th ed. MDPI, 2021. http://dx.doi.org/10.3390/mol2net-07-11913.

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Beljkas, Milan, Jelena Rebić, Milica Radan, Teodora Đikić, Slavica Oljačić, and Katarina Nikolic. "3D-Quantitative Structure-Activity Relationship and design of novel Rho-associated protein kinases-1 (ROCK1) inhibitors." In 2nd International Conference on Chemo and Bioinformatics. Institute for Information Technologies, University of Kragujevac, 2023. http://dx.doi.org/10.46793/iccbi23.584b.

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Rho-associated coiled-coil kinases (ROCKs) are involved in essential cellular functions such as adhesion, contraction, motility, proliferation, and cell survival/apoptosis. Four ROCK inhibitors have already been approved by the FDA and are used to treat glaucoma (ripasudil and netarsudil), cerebral vasospasm (fasudil), and graft-versus-host disease (belumosudil). Recent studies have focused on exploring the role of ROCK kinase inhibitors in cancer treatment and the development of new ROCK inhibitors. The main objective of this study was to identify critical structural features relevant to the
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Reports on the topic "Quantitative structure-activity relationship study"

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Ruangpornvisuti, Vithaya. A Study of conformational equilibrium of semicarbazone derivatives and their complexes with cations : research report. Chulalongkorn University, 2006. https://doi.org/10.58837/chula.res.2006.36.

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The structure optimizations of picolinaldehyde N-oxide thiosemicarbazone (Hpiotsc), 2-benzoylpyridine semicarbazone (H2BzPS), their imino tautomers and their complexes with Ni(II), Cu(II) and Zn(II) were carried out using DFT calculations at the B3LYP/LANL2DZ level of theory. Thermodynamic properties of tautomerizations of Hpiotsc and H2BzPS and complexations of their complexes derived from the frequency calculations at the same level were obtained. The B3LYP/LANL2DZ-optimized geometry parameters for the complexes of [[Ni(Hpiotsc)[subscript 2]][superscript 2+]], [Cu(Hpiotsc).Cl[subscript 2]] a
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Dashtey, Ahmed, Patrick Mormile, Sandra Pedre, Stephany Valdaliso, and Walter Tang. Prediction of PFOA and PFOS Toxicity through Log P and Number of Carbon with CompTox and Machine Learning Tools. Florida International University, 2024. http://dx.doi.org/10.25148/ceefac.2024.00202400.

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Perfluorooctanoic acid (PFOA) and perfluorooctane sulfonic acid (PFOS) are two major groups of PFAS will be subjected to the Maximal Contamination Concentration (MCL) of 4 ng/l in drinking water to be implemented by the U.S. EPA by 2025. How to accurately predict toxicity of PFAS with varied carbon chain length is important for treatment and sequential removal from drinking water. This study presents Quantitative Structure and Activity Relationship (QSAR) models developed through both linear regression and two order regression. Log P is compiled from reference and carbon content is counted as
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Idakwo, Gabriel, Sundar Thangapandian, Joseph Luttrell, Zhaoxian Zhou, Chaoyang Zhang, and Ping Gong. Deep learning-based structure-activity relationship modeling for multi-category toxicity classification : a case study of 10K Tox21 chemicals with high-throughput cell-based androgen receptor bioassay data. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/41302.

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Deep learning (DL) has attracted the attention of computational toxicologists as it offers a potentially greater power for in silico predictive toxicology than existing shallow learning algorithms. However, contradicting reports have been documented. To further explore the advantages of DL over shallow learning, we conducted this case study using two cell-based androgen receptor (AR) activity datasets with 10K chemicals generated from the Tox21 program. A nested double-loop cross-validation approach was adopted along with a stratified sampling strategy for partitioning chemicals of multiple AR
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Hwa, Yue-Yi, Sharon Kanthy Lumbanraja, Usha Adelina Riyanto, and Dewi Susanti. The Role of Coherence in Strengthening CommunityAccountability for Remote Schools in Indonesia. Research on Improving Systems of Education (RISE), 2022. http://dx.doi.org/10.35489/bsg-rise-wp_2022/090.

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Incoherence in accountability relationships can hamper the quality of education. Such incoherence can be a particular challenge in resource-constrained, remote villages where teachers tend to have higher educational capital and social status than the parents and communities that they serve. We analyze quantitative and qualitative data from a randomized controlled trial of a social accountability mechanism (SAM) for schools in remote Indonesian villages. The intervention had three treatment arms, all of which included the SAM, which engaged village-level stakeholders in a consensus-building pro
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Boyarchenko, Nina, and Leonardo Elias. Financing Private Credit. Federal Reserve Bank of New York, 2024. http://dx.doi.org/10.59576/sr.1111.

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Using data on balance sheets of both financial and nonfinancial sectors of the economy, we use a “demand system” approach to study how lender composition and willingness to provide credit affect the relationship between credit expansions and real activity. A key advantage of jointly modeling the demand for and supply of credit is the ability to evaluate equilibrium elasticities of credit quantities with respect to variables of interest. We document that the sectoral composition of lenders financing a credit expansion is a key determinant for subsequent real activity and crisis probability. We
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Chornodon, Myroslava. FEAUTURES OF GENDER IN MODERN MASS MEDIA. Ivan Franko National University of Lviv, 2021. http://dx.doi.org/10.30970/vjo.2021.49.11064.

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The article clarifies of gender identity stereotypes in modern media. The main gender stereotypes covered in modern mass media are analyzed and refuted. The model of gender relations in the media is reflected mainly in the stereotypical images of men and woman. The features of the use of gender concepts in modern periodicals for women and men were determined. The most frequently used derivatives of these macroconcepts were identified and analyzed in detail. It has been found that publications for women and men are full of various gender concepts that are used in different contexts. Ingeneral,
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Ley, Matt, Tom Baldvins, David Jones, Hanna Pilkington, and Kelly Anderson. Vegetation classification and mapping: Gulf Islands National Seashore. National Park Service, 2023. http://dx.doi.org/10.36967/2299028.

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The Gulf Islands National Seashore (GUIS) vegetation inventory project classified and mapped vegetation on park-owned lands within the administrative boundary and estimated thematic map accuracy quantitatively. The project began in June 2016. National Park Service (NPS) Vegetation Mapping Inventory Program provided technical guidance. The overall process included initial planning and scoping, imagery procurement, field data collection, data analysis, imagery interpretation/classification, accuracy assessment (AA), and report writing and database development. Initial planning and scoping meetin
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Mevarech, Moshe, Jeremy Bruenn, and Yigal Koltin. Virus Encoded Toxin of the Corn Smut Ustilago Maydis - Isolation of Receptors and Mapping Functional Domains. United States Department of Agriculture, 1995. http://dx.doi.org/10.32747/1995.7613022.bard.

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Ustilago maydis is a fungal pathogen of maize. Some strains of U. maydis encode secreted polypeptide toxins capable of killing other susceptible strains of U. maydis. Resistance to the toxins is conferred by recessive nuclear genes. The toxins are encoded by genomic segments of resident double-strande RNA viruses. The best characterized toxin, KP6, is composed of two polypeptides, a and b, which are not covalently linked. It is encoded by P6M2 dsRNA, which has been cloned, sequenced and expressed in a variety of systems. In this study we have shown that the toxin acts on the membranes of sensi
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Leeladee, Pannee. Cooperative small-molecule activation toward sustainable catalysis. Faculty of Science, Chulalongkorn University, 2018. https://doi.org/10.58837/chula.res.2018.47.

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In this research, a series of copper complexes containing polypyridyl ligands were designed to study the influence from ligands, nuclearity, solvents and secondary coordination on reactivity toward small-molecule activation. This structure-reactivity relationship was used in investigation for oxygen reduction reactions (ORR), and applied in detection of ascorbic acid (AsH₂). Firstly, copper (II) complexes containing polypyridyl derivatives ligands (i.e., Cu(dpa), Cu(adpa) and Cu₂ (addpa)) were synthesized and fully characterized by elemental analysis, mass spectrometry and X-ray crystallograph
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10

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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