Search results for "CoMFA"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
154	Kirandeep Kaur, Tanaji T. Talele	Structure-based CoMFA and CoMSIA study of indolinone inhibitors of PDK1.	J. Comput. Aided Mol. Des.	2009	DBLP DOI BibTeX RDF	3D QSAR, CoMFA, CoMSIA, Indolinone, PDK1
80	Phornphimon Maitarad, Sumalee Kamchonwongpaisan, Jarunee Vanichtanankul, Tirayut Vilaivan, Yongyuth Yuthavong, Supa Hannongbua	Interactions between cycloguanil derivatives and wild type and resistance-associated mutant Plasmodium falciparum dihydrofolate reductases.	J. Comput. Aided Mol. Des.	2009	DBLP DOI BibTeX RDF	Dihydrofolate reductase, Cycloguanil, WR99210, CoMFA, Quantum chemical calculations
74	F. A. Pasha, Muhammad Muddassar, So Ha Lee, Taebo Sim, Jung-Mi Hah, Seung Joo Cho	In silico Ligand-Based (LB) and Docking-Based (DB) 3D-QSAR Study of Potent Chk2 Inhibitors.	FBIT	2007	DBLP DOI BibTeX RDF
55	Sivaprakasam Prasanna, Pankaj R. Daga, Aihua Xie, Robert J. Doerksen	Glycogen synthase kinase-3 inhibition by 3-anilino-4-phenylmaleimides: insights from 3D-QSAR and docking.	J. Comput. Aided Mol. Des.	2009	DBLP DOI BibTeX RDF	3D-QSAR, CoMFA, CoMSIA, GSK-3, Maleimides, Docking
49	Yubin Ji, Ran Tian, Wenhan Lin	QSAR and Molecular Docking Study of a Series of Combretastatin Analogues Tubulin Inhibitors.	LSMS (2)	2007	DBLP DOI BibTeX RDF
48	Dhara M. Chhatbar, Udit J. Chaube, Vivek K. Vyas, Hardik G. Bhatt	CoMFA, CoMSIA, Topomer CoMFA, HQSAR, molecular docking and molecular dynamics simulations study of triazine morpholino derivatives as mTOR inhibitors for the treatment of breast cancer.	Comput. Biol. Chem.	2019	DBLP DOI BibTeX RDF
25	Muhammad Muddassar, F. A. Pasha, Hwan Won Chung, Kyung Ho Yoo, Chang Hyun Oh, Seung Joo Cho	The Receptor Guided 3D-QSAR Method is a Powerful Tool to Design More Potent IGF-1R Inhibitors.	FBIT	2007	DBLP DOI BibTeX RDF
24	Rino Ragno	www.3d-qsar.com: a web portal that brings 3-D QSAR to all electronic devices - the Py-CoMFA web application as tool to build models from pre-aligned datasets.	J. Comput. Aided Mol. Des.	2019	DBLP DOI BibTeX RDF
24	M. C. Sharma, S. Jain, R. Sharma	Trifluorophenyl-based inhibitors of dipeptidyl peptidase-IV as antidiabetic agents: 3D-QSAR COMFA, CoMSIA methodologies.	Netw. Model. Anal. Health Informatics Bioinform.	2018	DBLP DOI BibTeX RDF
24	Shuqun Zhang, Zichun Lin, Yinglan Pu, Yunqin Zhang, Li Zhang, Zhili Zuo	Comparative QSAR studies using HQSAR, CoMFA, and CoMSIA methods on cyclic sulfone hydroxyethylamines as BACE1 inhibitors.	Comput. Biol. Chem.	2017	DBLP DOI BibTeX RDF
24	T. K. Shameera Ahamed, K. Muraleedharan	A ligand-based comparative molecular field analysis (CoMFA) and homology model based molecular docking studies on 3′, 4′-dihydroxyflavones as rat 5-lipoxygenase inhibitors: Design of new inhibitors.	Comput. Biol. Chem.	2017	DBLP DOI BibTeX RDF
24	Hamidreza Ghafouri, Mohsen Ranjbar, Amirhossein Sakhteman	3D-QSAR studies of some reversible Acetyl cholinesterase inhibitors based on CoMFA and ligand protein interaction fingerprints using PC-LS-SVM and PLS-LS-SVM.	Comput. Biol. Chem.	2017	DBLP DOI BibTeX RDF
24	Shravan Kumar Gunda, Manasa Reddy Gummi, Jaheer Mohmed, Ayub Shaik	3D-QSAR (CoMFA, CoMSIA) and molecular docking studies of natural flavonoid derivatives to explore structural requirements for MCF-7 cell line inhibition.	Int. J. Comput. Biol. Drug Des.	2017	DBLP DOI BibTeX RDF
24	Neelamma Mantri, Jaheer Mohmed, Seshagiri Bandi, G. H. Anuradha, Mounica Bandela	CoMFA, CoMSIA analysis of 4-[5-(4-Fluoro-benzyl-1H-pyrazol-3-yl]-pyridine derivatives as CYP3A4 inhibitors.	Int. J. Comput. Biol. Drug Des.	2017	DBLP DOI BibTeX RDF
24	Sathya Babu, Honglae Sohn, Thirumurthy Madhavan	Computational Analysis of CRTh2 receptor antagonist: A Ligand-based CoMFA and CoMSIA approach.	Comput. Biol. Chem.	2015	DBLP DOI BibTeX RDF
24	Bernd Wendt, Richard D. Cramer	Challenging the gold standard for 3D-QSAR: template CoMFA versus X-ray alignment.	J. Comput. Aided Mol. Des.	2014	DBLP DOI BibTeX RDF
24	Richard D. Cramer, Bernd Wendt	Template CoMFA: The 3D-QSAR Grail?	J. Chem. Inf. Model.	2014	DBLP DOI BibTeX RDF
24	Richard D. Cramer	Template CoMFA Applied to 116 Biological Targets.	J. Chem. Inf. Model.	2014	DBLP DOI BibTeX RDF
24	Richard D. Cramer	R-group template CoMFA combines benefits of "ad hoc" and topomer alignments using 3D-QSAR for lead optimization.	J. Comput. Aided Mol. Des.	2012	DBLP DOI BibTeX RDF
24	Rohith Kumar Anugolu, Shravan Kumar Gunda, Mahmood Shaik	3D QSAR CoMFA/CoMSIA and docking studies on azole dione derivatives, as anti-cancer inhibitors.	Int. J. Comput. Biol. Drug Des.	2012	DBLP DOI BibTeX RDF
24	Bastikar Virupaksha, Gupte Alpana	CoMFA QSAR models of camptothecin analogues based on the distinctive SAR features of combined ABC, CD and E ring substitutions.	Comput. Biol. Medicine	2012	DBLP DOI BibTeX RDF
24	Senthil Natesan, Tiansheng Wang, Viera Lukacova, Vladimir Bartus, Akash Khandelwal, Stefan Balaz	Rigorous Treatment of Multispecies Multimode Ligand-Receptor Interactions in 3D-QSAR: CoMFA Analysis of Thyroxine Analogs Binding to Transthyretin.	J. Chem. Inf. Model.	2011	DBLP DOI BibTeX RDF
24	Zhaoyan Hou, Yuhong Xiang, Yanbo Wei, Caihong Zhao, Zhuoyong Zhang	3D-QSAR and 3D-QSSR studies on a series of HDAC2 inhibitors using Topomer CoMFA.	BMEI	2011	DBLP DOI BibTeX RDF
24	Lívia Barros Salum, Napoleão Fonseca Valadares	Fragment-guided approach to incorporating structural information into a CoMFA study: BACE-1 as an example.	J. Comput. Aided Mol. Des.	2010	DBLP DOI BibTeX RDF
24	Prashant Revan Murumkar, Vishal Prakash Zambre, Mange Ram Yadav	Development of predictive pharmacophore model for in silico screening, and 3D QSAR CoMFA and CoMSIA studies for lead optimization, for designing of potent tumor necrosis factor alpha converting enzyme inhibitors.	J. Comput. Aided Mol. Des.	2010	DBLP DOI BibTeX RDF
24	Jans H. Alzate-Morales, Julio Caballero	Computational Study of the Interactions between Guanine Derivatives and Cyclin-Dependent Kinase 2 (CDK2) by CoMFA and QM/MM.	J. Chem. Inf. Model.	2010	DBLP DOI BibTeX RDF
24	Varnavas D. Mouchlis, Thomas M. Mavromoustakos, George Kokotos	Molecular Docking and 3D-QSAR CoMFA Studies on Indole Inhibitors of GIIA Secreted Phospholipase A2.	J. Chem. Inf. Model.	2010	DBLP DOI BibTeX RDF
24	Ruchi R. Mittal, Lisa Harris, Ross A. McKinnon, Michael J. Sorich	Partial Charge Calculation Method Affects CoMFA QSAR Prediction Accuracy.	J. Chem. Inf. Model.	2009	DBLP DOI BibTeX RDF
24	Kazuya Yasuo, Noriyuki Yamaotsu, Hiroaki Gouda, Hideki Tsujishita, Shuichi Hirono	Structure-Based CoMFA As a Predictive Model - CYP2C9 Inhibitors As a Test Case.	J. Chem. Inf. Model.	2009	DBLP DOI BibTeX RDF
24	Vishal Prakash Zambre, Prashant Revan Murumkar, Rajani Giridhar, Mange Ram Yadav	Structural Investigations of Acridine Derivatives by CoMFA and CoMSIA Reveal Novel Insight into Their Structures toward DNA G-Quadruplex Mediated Telomerase Inhibition and Offer a Highly Predictive 3D-Model for Substituted Acridines.	J. Chem. Inf. Model.	2009	DBLP DOI BibTeX RDF
24	Hung-Jin Huang, Da-Tian Bau, Ming-Hsui Tsai, Yuan-Man Hsu, Tin-Yun Ho, Chien-Yu Chen 0002, Yea-Huey Chang, Fuu-Jen Tsai, Chang-Hai Tsai, Calvin Yu-Chian Chen	Dual-Targeted Drug Design of HER2 and HSP90 by CoMFA Model and Pharmacophore Analysis.	BMEI	2009	DBLP DOI BibTeX RDF
24	Beilei Lei, Juan Du 0003, Shuyan Li, Huanxiang Liu, Yueying Ren, Xiaojun Yao	Comparative molecular field analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA) of thiazolone derivatives as hepatitis C virus NS5B polymerase allosteric inhibitors.	J. Comput. Aided Mol. Des.	2008	DBLP DOI BibTeX RDF
24	Richard D. Cramer, Phillip Cruz, Gunther Stahl, William C. Curtiss, Brian Campbell 0002, Brian B. Masek, Farhad Soltanshahi	Virtual Screening for R-Groups, including Predicted pIC50 Contributions, within Large Structural Databases, Using Topomer CoMFA.	J. Chem. Inf. Model.	2008	DBLP DOI BibTeX RDF
24	Qingye Zhang, Jiaoyan Yang, Kun Liang, Lingling Feng, Sanpin Li, Jian Wan 0004, Xin Xu 0004, Guangfu Yang, Deli Liu, Shao Yang	Binding Interaction Analysis of the Active Site and Its Inhibitors for Neuraminidase (N1 Subtype) of Human Influenza Virus by the Integration of Molecular Docking, FMO Calculation and 3D-QSAR CoMFA Modeling.	J. Chem. Inf. Model.	2008	DBLP DOI BibTeX RDF
24	Takanori Ohgaru, Ryo Shimizu, Kousuke Okamoto, Norihito Kawashita, Masaya Kawase, Yuko Shirakuni, Rika Nishikiori, Tatsuya Takagi	Enhancement of Ordinal CoMFA by Ridge Logistic Partial Least Squares.	J. Chem. Inf. Model.	2008	DBLP DOI BibTeX RDF
24	Agnes Kapou, Nikolas-P. Benetis, Serdar Durdagi, Sotiris Nikolaropoulos, Thomas M. Mavromoustakos	3D QSAR/CoMFA and CoMSIA Studies on Antileukemic Steroidal Esters Coupled with Conformationally Flexible Nitrogen Mustards.	J. Chem. Inf. Model.	2008	DBLP DOI BibTeX RDF
24	Monique Araújo de Brito, Carlos Rangel Rodrigues, José Jair Vianna Cirino, Ricardo B. de Alencastro, Helena Castro, Magaly G. Albuquerque	3D-QSAR CoMFA of a Series of DABO Derivatives as HIV-1 Reverse Transcriptase Non-Nucleoside Inhibitors.	J. Chem. Inf. Model.	2008	DBLP DOI BibTeX RDF
24	Zhuoyong Zhang, Liying An, Wenxiang Hu, Yuhong Xiang	3D-QSAR study of hallucinogenic phenylalkylamines by using CoMFA approach.	J. Comput. Aided Mol. Des.	2007	DBLP DOI BibTeX RDF
24	Maulik R. Patel, Jonathan R. Dimmock, Tanaji T. Talele	CoMFA and CoMSIA Studies on 1, 3-Bis(benzylidene)-3, 4-dihydro-1H-naphthalen-2-one, 2, 6-Bis(benzylidene)cyclohexanone, and 3, 5-Bis(benzylidene)-4-piperidone Series of Cytotoxic Compounds.	J. Chem. Inf. Model.	2007	DBLP DOI BibTeX RDF
24	Yan-Zhen He, Yuan-Xiang Li, Xiao-Lei Zhu, Zhen Xi, Congwei Niu, Jian Wan 0004, Li Zhang, Guangfu Yang	Rational Design Based on Bioactive Conformation Analysis of Pyrimidinylbenzoates as Acetohydroxyacid Synthase Inhibitors by Integrating Molecular Docking, CoMFA, CoMSIA, and DFT Calculations.	J. Chem. Inf. Model.	2007	DBLP DOI BibTeX RDF
24	Mingyue Zheng, Kunqian Yu, Hong Liu, Xiaomin Luo, Kaixian Chen, Weiliang Zhu, Hualiang Jiang	QSAR analyses on avian influenza virus neuraminidase inhibitors using CoMFA, CoMSIA, and HQSAR.	J. Comput. Aided Mol. Des.	2006	DBLP DOI BibTeX RDF
24	Elizabeth A. Amin, William J. Welsh	Highly Predictive CoMFA and CoMSIA Models for Two Series of Stromelysin-1 (MMP-3) Inhibitors Elucidate S1' and S1-S2' Binding Modes.	J. Chem. Inf. Model.	2006	DBLP DOI BibTeX RDF
24	Shane D. Peterson, Wesley Schaal, Anders Karlén	Improved CoMFA Modeling by Optimization of Settings.	J. Chem. Inf. Model.	2006	DBLP DOI BibTeX RDF
24	Samuli-Petrus Korhonen, Kari Tuppurainen, Reino Laatikainen, Mikael Peräkylä	Comparing the Performance of FLUFF-BALL to SEAL-CoMFA with a Large Diverse Estrogen Data Set: From Relevant Superpositions to Solid Predictions.	J. Chem. Inf. Model.	2005	DBLP DOI BibTeX RDF
24	Philip Prathipati, Gyanendra Pandey, Anil K. Saxena	CoMFA and Docking Studies on Glycogen Phosphorylase a Inhibitors as Antidiabetic Agents.	J. Chem. Inf. Model.	2005	DBLP DOI BibTeX RDF
24	Huabei Zhang, Hua Li, Chunping Liu	CoMFA, CoMSIA, and Molecular Hologram QSAR Studies of Novel Neuronal nAChRs Ligands-Open Ring Analogues of 3-Pyridyl Ether.	J. Chem. Inf. Model.	2005	DBLP DOI BibTeX RDF
24	Dawoon Jung 0002, Jie Floyd, Tamara M. Gund	A comparative molecular field analysis (CoMFA) study using semiempirical, density functional, ab initio methods and pharmacophore derivation using DISCOtech on sigma 1 ligands.	J. Comput. Chem.	2004	DBLP DOI BibTeX RDF
24	José L. Medina-Franco, Sergio Rodríguez-Morales, Cecilia Juárez-Gordiano, Alicia Hernández-Campos, Rafael Castillo	Docking-based CoMFA and CoMSIA studies of non-nucleoside reverse transcriptase inhibitors of the pyridinone derivative type.	J. Comput. Aided Mol. Des.	2004	DBLP DOI BibTeX RDF
24	Jaroslaw Polanski, Rafal Gieleciak, Tomasz Magdziarz, Andrzej Bak	GRID Formalism for the Comparative Molecular Surface Analysis: Application to the CoMFA Benchmark Steroids, Azo Dyes, and HEPT Derivatives.	J. Chem. Inf. Model.	2004	DBLP DOI BibTeX RDF
24	Chris L. Waller	A Comparative QSAR Study Using CoMFA, HQSAR, and FRED/SKEYS Paradigms for Estrogen Receptor Binding Affinities of Structurally Diverse Compounds.	J. Chem. Inf. Model.	2004	DBLP DOI BibTeX RDF
24	Zhigang Zhou, Jeffry D. Madura	CoMFA 3D-QSAR Analysis of HIV-1 RT Nonnucleoside Inhibitors, TIBO Derivatives Based on Docking Conformation and Alignment.	J. Chem. Inf. Model.	2004	DBLP DOI BibTeX RDF
24	James L. Melville, Jonathan D. Hirst	On the Stability of CoMFA Models.	J. Chem. Inf. Model.	2004	DBLP DOI BibTeX RDF
24	Julius Sipilä, Jyrki Taskinen	CoMFA Modeling of Human Catechol O-Methyltransferase Enzyme Kinetics.	J. Chem. Inf. Model.	2004	DBLP DOI BibTeX RDF
24	Peter Wolohan, David E. Reichert	CoMFA and docking study of novel estrogen receptor subtype selective ligands.	J. Comput. Aided Mol. Des.	2003	DBLP DOI BibTeX RDF
24	Gerrit Schüürmann, Simona Funar-Timofei	Multilinear Regression and Comparative Molecular Field Analysis (CoMFA) of Azo Dye-Fiber Affinities. 2. Inclusion of Solution-Phase Molecular Orbital Descriptors.	J. Chem. Inf. Comput. Sci.	2003	DBLP DOI BibTeX RDF
24	Julius Sipilä, Alan M. Hood, Michael W. H. Coughtrie, Jyrki Taskinen	CoMFA Modeling of Enzyme Kinetics: Km Values for Sulfation of Diverse Phenolic Substrates by Human Catecholamine Sulfotransferase SULT1A3.	J. Chem. Inf. Comput. Sci.	2003	DBLP DOI BibTeX RDF
24	Viera Lukacova, Stefan Balaz	Multimode Ligand Binding in Receptor Site Modeling: Implementation in CoMFA.	J. Chem. Inf. Comput. Sci.	2003	DBLP DOI BibTeX RDF
24	Juswinder Singh, Herman van Vlijmen, Wen-Cherng Lee, Yusheng Liao, Ko-Chung Lin, Humayun Ateeq, Julio Cuervo, Craig Zimmerman, Charles Hammond, Michael Karpusas, Rex Palmer, Tapan Chattopadhyay, Steven P. Adams	3D QSAR (COMFA) of a series of potent and highly selective VLA-4 antagonists.	J. Comput. Aided Mol. Des.	2002	DBLP DOI BibTeX RDF
24	Simona Funar-Timofei, Gerrit Schüürmann	Comparative Molecular Field Analysis (CoMFA) of Anionic Azo Dye-Fiber Affinities I: Gas-Phase Molecular Orbital Descriptors.	J. Chem. Inf. Comput. Sci.	2002	DBLP DOI BibTeX RDF
24	Janne E. Tønder, Preben H. Olesen, John Bondo Hansen, Mikael Begtrup, Ingrid Pettersson	An improved nicotinic pharmacophore and a stereoselective CoMFA-model for nicotinic agonists acting at the central nicotinic acetylcholine receptors labelled by [3H]-N-methylcarbamylcholine.	J. Comput. Aided Mol. Des.	2001	DBLP DOI BibTeX RDF
24	Irini A. Doytchinova	CoMFA-based comparison of two models of binding site on adenosine A1 receptor.	J. Comput. Aided Mol. Des.	2001	DBLP DOI BibTeX RDF
24	Pierre Ducrot, Charles R. Andrianjara, Roger Wrigglesworth	CoMFA and CoMSIA 3D-quantitative structure-activity relationship model on benzodiazepine derivatives, inhibitors of phosphodiesterase IV.	J. Comput. Aided Mol. Des.	2001	DBLP DOI BibTeX RDF
24	Keun Woo Lee, James M. Briggs	Comparative molecular field analysis (CoMFA) study of epothilones - tubulin depolymerization inhibitors: Pharmacophore development using 3D QSAR methods.	J. Comput. Aided Mol. Des.	2001	DBLP DOI BibTeX RDF
24	Malini Ravi, Anton J. Hopfinger, Robert E. Hormann, Laurence Dinan	4D-QSAR Analysis of a Set of Ecdysteroids and a Comparison to CoMFA Modeling.	J. Chem. Inf. Comput. Sci.	2001	DBLP DOI BibTeX RDF
24	Keigo Gohda, Ichiro Mori, Daisaku Ohta, Takeshi Kikuchi	A CoMFA analysis with conformational propensity: An attempt to analyze the SAR of a set of molecules with different conformational flexibility using a 3D-QSAR method.	J. Comput. Aided Mol. Des.	2000	DBLP DOI BibTeX RDF
24	Raimundo Gargallo, Christoph A. Sotriffer, Klaus R. Liedl, Bernd M. Rode	Application of multivariate data analysis methods to Comparative Molecular Field Analysis (CoMFA) data: Proton affinities and pKa prediction for nucleic acids components.	J. Comput. Aided Mol. Des.	1999	DBLP DOI BibTeX RDF
24	Laurence Dinan, Robert E. Hormann, Ted Fujimoto	An extensive ecdysteroid CoMFA.	J. Comput. Aided Mol. Des.	1999	DBLP DOI BibTeX RDF
24	Toshiro Kimura, Kiyoshi Hasegawa, Kimito Funatsu	GA Strategy for Variable Selection in QSAR Studies: GA-Based Region Selection for CoMFA Modeling.	J. Chem. Inf. Comput. Sci.	1998	DBLP DOI BibTeX RDF
24	A. E. Medvedev, A. V. Veselovsky, V. I. Shvedov, O. V. Tikhonova, T. A. Moskvitina, O. A. Fedotova, L. N. Axenova, N. S. Kamyshanskaya, A. Z. Kirkel, Alexis S. Ivanov	Inhibition of Monoamine Oxidase by Pirlindole Analogues: 3D-QSAR and CoMFA Analysis.	J. Chem. Inf. Comput. Sci.	1998	DBLP DOI BibTeX RDF
24	Asim Kumar Debnath	Comparative Molecular Field Analysis (CoMFA) of a Series of Symmetrical Bis-Benzamide Cyclic Urea Derivatives as HIV-1 Protease Inhibitors.	J. Chem. Inf. Comput. Sci.	1998	DBLP DOI BibTeX RDF
24	Silke Schmetzer, Paulette A. Greenidge, Karl-Artur Kovar, Meike Schulze-Alexandru, Gerd Folkers	Structure-activity relationships of cannabinoids: A joint CoMFA and pseudoreceptor modelling study.	J. Comput. Aided Mol. Des.	1997	DBLP DOI BibTeX RDF
24	Yukio Tominaga, Iwao Fujiwara	Prediction-Weighted Partial Least-Squares Regression Method (PWPLS) 2: Application to CoMFA.	J. Chem. Inf. Comput. Sci.	1997	DBLP DOI BibTeX RDF
24	Traian Sulea, Tudor I. Oprea, Sorel Muresan, Shek Ling Chan	A Different Method for Steric Field Evaluation in CoMFA Improves Model Robustness.	J. Chem. Inf. Comput. Sci.	1997	DBLP DOI BibTeX RDF
24	Laura Belvisi, Gianpaolo Bravi, Giovanna Catalano, Massimo Mabilia, Aldo Salimbeni, Carlo Scolastico	A 3D QSAR CoMFA study of non-peptide angiotensin II receptor antagonists.	J. Comput. Aided Mol. Des.	1996	DBLP DOI BibTeX RDF
24	Sung-Eun Yoo, Ok Ja Cha	Prediction of LUMO Energy and Rate Constant by Comparative Molecular Field Analysis(CoMFA).	J. Comput. Chem.	1995	DBLP DOI BibTeX RDF
24	Angelo Carotti, Cosimo Altomare, Saverio Cellamare, AnnaMaria Monforte, Giancarlo Bettoni, Fulvio Loiodice, Nicola Tangari, Vincenzo Tortorella	LFER and CoMFA studies on optical resolution of alpha-alkyl alpha-aryloxy acetic acid methl esters on DACH-DNB chiral stationary phase.	J. Comput. Aided Mol. Des.	1995	DBLP DOI BibTeX RDF
24	Romano T. Kroemer, Peter Hecht	A new procedure for improving the predictiveness of CoMFA models and its application to a set of dihydrofolate reductase inhibitors.	J. Comput. Aided Mol. Des.	1995	DBLP DOI BibTeX RDF
24	Romano T. Kroemer, Peter Hecht	Replacement of steric 6-12 potential-derived interaction energies by atom-based indicator variables in CoMFA leads to models of higher consistency.	J. Comput. Aided Mol. Des.	1995	DBLP DOI BibTeX RDF
24	Giovanni Greco, Ettore Novellino, Maurizio Pellecchia, Carlo Silipo, Antonio Vittoria	Effects of variable selection on CoMFA coefficient contour maps in a set of triazines inhibiting DHFR.	J. Comput. Aided Mol. Des.	1994	DBLP DOI BibTeX RDF
24	Julie A. Calder, John A. Wyatt, David A. Frenkel, John E. Casida	CoMFA validation of the superposition of six classes of compounds which block GABA receptors non-competitively.	J. Comput. Aided Mol. Des.	1993	DBLP DOI BibTeX RDF
24	Ki Hwan Kim, Giovanni Greco, Ettore Novellino, Carlo Silipo, Antonio Vittoria	Use of the hydrogen bond potential function in a comparative molecular field analysis (CoMFA) on a set of benzodiazepines.	J. Comput. Aided Mol. Des.	1993	DBLP DOI BibTeX RDF
24	Bruce L. Bush, Robert B. Nachbar	Sample-distance Partial Least Squares: PLS optimized for many variables, with application to CoMFA.	J. Comput. Aided Mol. Des.	1993	DBLP DOI BibTeX RDF
24	Deborah A. Loughney, Charles F. Schwender	A comparison of progestin and androgen receptor binding using the CoMFA technique.	J. Comput. Aided Mol. Des.	1992	DBLP DOI BibTeX RDF
24	Glen E. Kellogg, Simon F. Semus, Donald J. Abraham	HINT: A new method of empirical hydrophobic field calculation for CoMFA.	J. Comput. Aided Mol. Des.	1991	DBLP DOI BibTeX RDF