Literature DB >> 26878596

A Real-World Perspective on Molecular Design.

Bernd Kuhn1, Wolfgang Guba1, Jérôme Hert1, David Banner1, Caterina Bissantz1, Simona Ceccarelli1, Wolfgang Haap1, Matthias Körner1, Andreas Kuglstatter1, Christian Lerner1, Patrizio Mattei1, Werner Neidhart1, Emmanuel Pinard1, Markus G Rudolph1, Tanja Schulz-Gasch1, Thomas Woltering1, Martin Stahl1.   

Abstract

We present a series of small molecule drug discovery case studies where computational methods were prospectively employed to impact Roche research projects, with the aim of highlighting those methods that provide real added value. Our brief accounts encompass a broad range of methods and techniques applied to a variety of enzymes and receptors. Most of these are based on judicious application of knowledge about molecular conformations and interactions: filling of lipophilic pockets to gain affinity or selectivity, addition of polar substituents, scaffold hopping, transfer of SAR, conformation analysis, and molecular overlays. A case study of sequence-driven focused screening is presented to illustrate how appropriate preprocessing of information enables effective exploitation of prior knowledge. We conclude that qualitative statements enabling chemists to focus on promising regions of chemical space are often more impactful than quantitative prediction.

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Year:  2016        PMID: 26878596     DOI: 10.1021/acs.jmedchem.5b01875

Source DB:  PubMed          Journal:  J Med Chem        ISSN: 0022-2623            Impact factor:   7.446


  15 in total

1.  Biased Docking for Protein-Ligand Pose Prediction.

Authors:  Juan Pablo Arcon; Adrián G Turjanski; Marcelo A Martí; Stefano Forli
Journal:  Methods Mol Biol       Date:  2021

2.  Modeling & Informatics at Vertex Pharmaceuticals Incorporated: our philosophy for sustained impact.

Authors:  Georgia McGaughey; W Patrick Walters
Journal:  J Comput Aided Mol Des       Date:  2016-11-29       Impact factor: 3.686

3.  Computer-aided drug design at Boehringer Ingelheim.

Authors:  Ingo Muegge; Andreas Bergner; Jan M Kriegl
Journal:  J Comput Aided Mol Des       Date:  2016-09-20       Impact factor: 3.686

4.  Predicting Molecular Energy Using Force-Field Optimized Geometries and Atomic Vector Representations Learned from an Improved Deep Tensor Neural Network.

Authors:  Jianing Lu; Cheng Wang; Yingkai Zhang
Journal:  J Chem Theory Comput       Date:  2019-06-12       Impact factor: 6.006

5.  Continuous Evaluation of Ligand Protein Predictions: A Weekly Community Challenge for Drug Docking.

Authors:  Jeffrey R Wagner; Christopher P Churas; Shuai Liu; Robert V Swift; Michael Chiu; Chenghua Shao; Victoria A Feher; Stephen K Burley; Michael K Gilson; Rommie E Amaro
Journal:  Structure       Date:  2019-06-27       Impact factor: 5.006

6.  Insights from molecular modeling into the selective inhibition of cathepsin S by its inhibitor.

Authors:  Sabahuddin Ahmad; Mohammad Imran Siddiqi
Journal:  J Mol Model       Date:  2017-02-24       Impact factor: 1.810

7.  qFit-ligand Reveals Widespread Conformational Heterogeneity of Drug-Like Molecules in X-Ray Electron Density Maps.

Authors:  Gydo C P van Zundert; Brandi M Hudson; Saulo H P de Oliveira; Daniel A Keedy; Rasmus Fonseca; Amelie Heliou; Pooja Suresh; Kenneth Borrelli; Tyler Day; James S Fraser; Henry van den Bedem
Journal:  J Med Chem       Date:  2018-12-06       Impact factor: 7.446

8.  Target-Specific Prediction of Ligand Affinity with Structure-Based Interaction Fingerprints.

Authors:  Florian Leidner; Nese Kurt Yilmaz; Celia A Schiffer
Journal:  J Chem Inf Model       Date:  2019-08-19       Impact factor: 4.956

9.  ReSCoSS: a flexible quantum chemistry workflow identifying relevant solution conformers of drug-like molecules.

Authors:  Anikó Udvarhelyi; Stephane Rodde; Rainer Wilcken
Journal:  J Comput Aided Mol Des       Date:  2020-08-17       Impact factor: 3.686

10.  Computer-aided design of multi-target ligands at A1R, A2AR and PDE10A, key proteins in neurodegenerative diseases.

Authors:  Leen Kalash; Cristina Val; Jhonny Azuaje; María I Loza; Fredrik Svensson; Azedine Zoufir; Lewis Mervin; Graham Ladds; José Brea; Robert Glen; Eddy Sotelo; Andreas Bender
Journal:  J Cheminform       Date:  2017-12-30       Impact factor: 5.514

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