Academic literature on the topic '3D-QSAR model'
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Journal articles on the topic "3D-QSAR model"
Terzioglu, Nalan, and Hans-Dieter Höltje. "Receptor-Based 3D QSAR Analysis of Serotonin 5-HT1D Receptor Agonists." Collection of Czechoslovak Chemical Communications 70, no. 9 (2005): 1482–92. http://dx.doi.org/10.1135/cccc20051482.
Full textZhao, Manman, Lin Wang, Linfeng Zheng, et al. "2D-QSAR and 3D-QSAR Analyses for EGFR Inhibitors." BioMed Research International 2017 (2017): 1–11. http://dx.doi.org/10.1155/2017/4649191.
Full textJagdale, Deepali M., and Ramaa C. S. "QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP ANALYSIS OF NOVEL PYRAZOLINE DERIVATIVES USING K NEAREST NEIGHBOUR MOLECULAR FIELD ANALYSIS METHOD." International Journal of Pharmacy and Pharmaceutical Sciences 9, no. 12 (2017): 87. http://dx.doi.org/10.22159/ijpps.2017v9i12.19401.
Full textAsgaonkar, K. D., S. M. Patil, T. S. Chitre, S. D. Wani, and M. T. Singh. "QSAR tool for optimization of nitrobenzamide pharmacophore for antitubercular activity." Bulletin of the Karaganda University. "Chemistry" series 105, no. 1 (2022): 60–68. http://dx.doi.org/10.31489/2022ch1/60-68.
Full textMishra, Puja, Sumit Nandi, Ankit Chatterjee, et al. "Development of 2D and 3D QSAR models of pyrazole derivatives as acetylcholine esterase inhibitors." Journal of the Serbian Chemical Society, no. 00 (2024): 39. http://dx.doi.org/10.2298/jsc230221039m.
Full textB.V.S, Suneel Kumar, Jagarlapudi A. R. P. Sarma, and Lakshmi Narasu. "3D-QSAR studies on Pyrido[2,3-d]pyrimidine Derivatives as Fibroblast Growth Factor Receptor 1 Inhibitors: Application of Molecular Field Analysis (MFA)." International Journal of Drug Design and Discovery 2, no. 4 (2024): 619–32. https://doi.org/10.37285/ijddd.2.4.2.
Full textRen, Ji-Xia, Rui-Tao Zhang, and Hui Zhang. "Identifying Novel ATX Inhibitors via Combinatory Virtual Screening Using Crystallography-Derived Pharmacophore Modelling, Docking Study, and QSAR Analysis." Molecules 25, no. 5 (2020): 1107. http://dx.doi.org/10.3390/molecules25051107.
Full textChhajed, Priyanka N., and Ravindra B. Patil. "Exploring 3D QSAR Study of Pyridone-Pyrimidone Derivatives as Glucokinase Activators in Treatment of Diabetes Mellitus by using CoMFA Method." Asian Journal of Organic & Medicinal Chemistry 7, no. 1 (2022): 42–54. http://dx.doi.org/10.14233/ajomc.2022.ajomc-p360.
Full textVaddavalli, Radha, Bagyanaryana Gaddam, and Pradeep Kumar Maddikara. "Discovery of Novel Inhibitors Against Resistant Streptococcus pneumoniae MurF Enzyme using Phamracophore Modeling and QSAR Analysis." International Journal of Drug Design and Discovery 2, no. 1 (2024): 403–12. https://doi.org/10.37285/ijddd.2.1.7.
Full textZhang, Jiaming, Qinqin Liu, Haoxia Zhao, Guiyu Li, Yunpeng Yi, and Ruofeng Shang. "Design and Synthesis of Pleuromutilin Derivatives as Antibacterial Agents Using Quantitative Structure–Activity Relationship Model." International Journal of Molecular Sciences 25, no. 4 (2024): 2256. http://dx.doi.org/10.3390/ijms25042256.
Full textDissertations / Theses on the topic "3D-QSAR model"
Sköld, Christian. "Computational Modeling of the AT2 Receptor and AT2 Receptor Ligands : Investigating Ligand Binding, Structure–Activity Relationships, and Receptor-Bound Models." Doctoral thesis, Uppsala University, Organic Pharmaceutical Chemistry, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-7823.
Full textSköld, Christian. "Computational Modeling of the AT2 Receptor and AT2 Receptor Ligands : Investigating Ligand Binding, Structure–Activity Relationships, and Receptor-Bound Models." Doctoral thesis, Uppsala universitet, Avdelningen för organisk farmaceutisk kemi, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-7823.
Full textAlwassil, Osama I. "Elaboration and Design of α7 nAChR Negative Allosteric Modulators". VCU Scholars Compass, 2015. http://scholarscompass.vcu.edu/etd/3902.
Full textPeterson, Shane. "Improved CoMFA Modeling by Optimization of Settings : Toward the Design of Inhibitors of the HCV NS3 Protease." Doctoral thesis, Uppsala : Acta Universitatis Upsaliensis, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-8140.
Full textPedreros, Riquelme América Beatriz. "Diseño racional de antibacterianos de núcleo 8-aril- mercapto-pirimidoisoquinolinquinonas basado en las herramientas de química medicinal de gráfica de craig y modelo 3D-QSAR/COMFA." Tesis, Universidad de Chile, 2017. http://repositorio.uchile.cl/handle/2250/144766.
Full textAbdulHameed, Mohamed Diwan Mohideen. "COMPUTATIONAL DESIGN OF 3-PHOSPHOINOSITIDE DEPENDENT KINASE-1 INHIBITORS AS POTENTIAL ANTI-CANCER AGENTS." UKnowledge, 2009. http://uknowledge.uky.edu/gradschool_diss/757.
Full textSchaal, Wesley. "Computational Studies of HIV-1 Protease Inhibitors." Doctoral thesis, Uppsala : Acta Universitatis Upsaliensis : Univ.-bibl. [distributör], 2002. http://publications.uu.se/theses/91-554-5213-2/.
Full textChen, Kuan-Ju, and 陳冠如. "Applying 3D-QSAR technique to construct the pharmacophore model of farnesyltransferase inhibitors." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/52165476443295609708.
Full textBook chapters on the topic "3D-QSAR model"
Vrontaki, Eleni, and Antonios Kolocouris. "Pharmacophore Generation and 3D-QSAR Model Development Using PHASE." In Methods in Molecular Biology. Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4939-8630-9_23.
Full textRamalakshmi, N., S. Arunkumar, and Sakthivel Balasubramaniyan. "QSAR and Lead Optimization." In Advances in Medical Technologies and Clinical Practice. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-7326-5.ch004.
Full textMariappan, Gurusamy, and Anju Kumari. "Virtual Screening and Its Applications in Drug Discovery Process." In Advances in Medical Technologies and Clinical Practice. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-7326-5.ch005.
Full text"Similarity-Based 3D-QSAR Models." In Three Dimensional QSAR. CRC Press, 2010. http://dx.doi.org/10.1201/b10419-11.
Full textde Souza, Anacleto S., Leonardo G. Ferreira, and Adriano D. Andricopulo. "2D and 3D QSAR Studies on a Series of Antichagasic Fenarimol Derivatives." In Pharmaceutical Sciences. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-1762-7.ch037.
Full textDu, Meijin, Wenwen Gu, Xixi Li, Fuqiang Fan, and Yu Li. "Modification of Hexachlorobenzene to Molecules with Lower Long-Range Transport Potentials Using 3D-QSAR Models with a Full Factor Experimental Design." In Advances in Marine Biology. Elsevier, 2018. http://dx.doi.org/10.1016/bs.amb.2018.09.004.
Full textConference papers on the topic "3D-QSAR model"
Ragno, Rino, and Alessio Ragno. "db.3d-qsar.com. The first 3D QSAR models database." In 2nd International Conference on Chemo and Bioinformatics. Institute for Information Technologies, University of Kragujevac, 2023. http://dx.doi.org/10.46793/iccbi23.051r.
Full textDjokovic, Nemanja, Ana Postolovic, and Katarina Nikolic. "MOLECULAR MODELING OF 5‐[(AMIDOBENZYL)OXY]‐ NICOTINAMIDES AS SIRTUIN 2 INHIBITORS USING ALIGNMENT- (IN)DEPENDENT 3D-QSAR ANALYSIS AND MOLECULAR DOCKING." In 1st INTERNATIONAL Conference on Chemo and BioInformatics. Institute for Information Technologies, University of Kragujevac, 2021. http://dx.doi.org/10.46793/iccbi21.410dj.
Full textLevovnik, Bojan D., Aleksa P. Alargić, Miloš M. Svirčev, and Goran I. Benedeković. "Building a 3D QSAR model with isopropylidene analogs of cytotoxic styryl-lactones." In 2nd International Conference on Chemo and Bioinformatics. Institute for Information Technologies, University of Kragujevac, 2023. http://dx.doi.org/10.46793/iccbi23.559l.
Full textBoboriko, Natalia, He Liying, and Yaraslau Dzichenka. "THE EXPLORATION OF CYP17A1 LIGAND SPACE BY THE QSAR MODEL." In 1st INTERNATIONAL Conference on Chemo and BioInformatics. Institute for Information Technologies, University of Kragujevac, 2021. http://dx.doi.org/10.46793/iccbi21.439b.
Full textBeljkas, 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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