Literature DB >> 22187141

Does your model weigh the same as a duck?

Ajay N Jain1, Ann E Cleves.   

Abstract

Computer-aided drug design is a mature field by some measures, and it has produced notable successes that underpin the study of interactions between small molecules and living systems. However, unlike a truly mature field, fallacies of logic lie at the heart of the arguments in support of major lines of research on methodology and validation thereof. Two particularly pernicious ones are cum hoc ergo propter hoc (with this, therefore because of this) and confirmation bias (seeking evidence that is confirmatory of the hypothesis at hand). These fallacies will be discussed in the context of off-target predictive modeling, QSAR, molecular similarity computations, and docking. Examples will be shown that avoid these problems.

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Year:  2011        PMID: 22187141      PMCID: PMC3276372          DOI: 10.1007/s10822-011-9530-1

Source DB:  PubMed          Journal:  J Comput Aided Mol Des        ISSN: 0920-654X            Impact factor:   3.686


  33 in total

1.  Morphological similarity: a 3D molecular similarity method correlated with protein-ligand recognition.

Authors:  A N Jain
Journal:  J Comput Aided Mol Des       Date:  2000-02       Impact factor: 3.686

2.  Ligand-based structural hypotheses for virtual screening.

Authors:  Ajay N Jain
Journal:  J Med Chem       Date:  2004-02-12       Impact factor: 7.446

Review 3.  Can the pharmaceutical industry reduce attrition rates?

Authors:  Ismail Kola; John Landis
Journal:  Nat Rev Drug Discov       Date:  2004-08       Impact factor: 84.694

4.  Glide: a new approach for rapid, accurate docking and scoring. 2. Enrichment factors in database screening.

Authors:  Thomas A Halgren; Robert B Murphy; Richard A Friesner; Hege S Beard; Leah L Frye; W Thomas Pollard; Jay L Banks
Journal:  J Med Chem       Date:  2004-03-25       Impact factor: 7.446

Review 5.  Drug-induced long QT syndrome.

Authors:  Prince Kannankeril; Dan M Roden; Dawood Darbar
Journal:  Pharmacol Rev       Date:  2010-12       Impact factor: 25.468

6.  Quantitative binding site model generation: compass applied to multiple chemotypes targeting the 5-HT1A receptor.

Authors:  A N Jain; N L Harris; J Y Park
Journal:  J Med Chem       Date:  1995-04-14       Impact factor: 7.446

7.  Molecular skins: a new concept for quantitative shape matching of a protein with its small molecule mimics.

Authors:  B B Masek; A Merchant; J B Matthew
Journal:  Proteins       Date:  1993-10

8.  Compass: predicting biological activities from molecular surface properties. Performance comparisons on a steroid benchmark.

Authors:  A N Jain; K Koile; D Chapman
Journal:  J Med Chem       Date:  1994-07-22       Impact factor: 7.446

9.  Molecular shape comparison of angiotensin II receptor antagonists.

Authors:  B B Masek; A Merchant; J B Matthew
Journal:  J Med Chem       Date:  1993-04-30       Impact factor: 7.446

10.  Absence of clinically important HERG channel blockade by three compounds that inhibit phosphodiesterase 5--sildenafil, tadalafil, and vardenafil.

Authors:  R Dustan Sarazan; William J Crumb; Charles M Beasley; Jeffrey T Emmick; Kenneth M Ferguson; Christine A Strnat; Peter J Sausen
Journal:  Eur J Pharmacol       Date:  2004-10-19       Impact factor: 4.432

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  8 in total

1.  Prediction of off-target drug effects through data fusion.

Authors:  Emmanuel R Yera; Ann E Cleves; Ajay N Jain
Journal:  Pac Symp Biocomput       Date:  2014

2.  10-N-heterocylic aryl-isoxazole-amides (AIMs) have robust anti-tumor activity against breast and brain cancer cell lines and useful fluorescence properties.

Authors:  Matthew J Weaver; Sascha Stump; Michael J Campbell; Donald S Backos; Chun Li; Philip Reigan; Earle Adams; Howard D Beall; Nicholas R Natale
Journal:  Bioorg Med Chem       Date:  2020-09-24       Impact factor: 3.641

Review 3.  On exploring structure-activity relationships.

Authors:  Rajarshi Guha
Journal:  Methods Mol Biol       Date:  2013

4.  Knowledge-guided docking: accurate prospective prediction of bound configurations of novel ligands using Surflex-Dock.

Authors:  Ann E Cleves; Ajay N Jain
Journal:  J Comput Aided Mol Des       Date:  2015-05-05       Impact factor: 3.686

5.  Extrapolative prediction using physically-based QSAR.

Authors:  Ann E Cleves; Ajay N Jain
Journal:  J Comput Aided Mol Des       Date:  2016-02-10       Impact factor: 3.686

6.  Iterative refinement of a binding pocket model: active computational steering of lead optimization.

Authors:  Rocco Varela; W Patrick Walters; Brian B Goldman; Ajay N Jain
Journal:  J Med Chem       Date:  2012-10-09       Impact factor: 7.446

7.  A structure-guided approach for protein pocket modeling and affinity prediction.

Authors:  Rocco Varela; Ann E Cleves; Russell Spitzer; Ajay N Jain
Journal:  J Comput Aided Mol Des       Date:  2013-11-09       Impact factor: 3.686

8.  Quantitative surface field analysis: learning causal models to predict ligand binding affinity and pose.

Authors:  Ann E Cleves; Ajay N Jain
Journal:  J Comput Aided Mol Des       Date:  2018-06-22       Impact factor: 3.686

  8 in total

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