Literature DB >> 20349114

Tautomers and reference 3D-structures: the orphans of in silico drug design.

Timothy Clark1.   

Abstract

The importance of calculating not only the correct tautomer, but also the correct protonation state and conformation in 3D modeling applications is emphasized. Above all, identifying and characterizing the most stable form of a ligand under physiological conditions is seen to be the key to successful 3D modeling. Modeling strategies that make use of the performance of modern hardware can employ physically more appropriate models than most currently in use and still be easily applicable to large numbers of compounds. Because the performance of quantitative structure-property relationships is likely to be limited by the available training and validation data, we must either find new sources of such data or resort to explicit modeling, which can partly be parameterized using definitive ab initio calculations for reference data such as gas-phase proton affinities.

Mesh:

Substances:

Year:  2010        PMID: 20349114     DOI: 10.1007/s10822-010-9342-8

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


  24 in total

1.  Development and testing of a general amber force field.

Authors:  Junmei Wang; Romain M Wolf; James W Caldwell; Peter A Kollman; David A Case
Journal:  J Comput Chem       Date:  2004-07-15       Impact factor: 3.376

2.  Polarizable Force Fields:  History, Test Cases, and Prospects.

Authors:  Arieh Warshel; Mitsunori Kato; Andrei V Pisliakov
Journal:  J Chem Theory Comput       Date:  2007-11       Impact factor: 6.006

3.  Gaussian-4 theory using reduced order perturbation theory.

Authors:  Larry A Curtiss; Paul C Redfern; Krishnan Raghavachari
Journal:  J Chem Phys       Date:  2007-09-28       Impact factor: 3.488

4.  Solvation of proteins: linking thermodynamics to geometry.

Authors:  Hendrik Hansen-Goos; Roland Roth; Klaus Mecke; S Dietrich
Journal:  Phys Rev Lett       Date:  2007-09-17       Impact factor: 9.161

5.  Approximating correlation effects in multiconfigurational self-consistent field calculations of spin-spin coupling constants.

Authors:  J San Fabián; E Díez; J M García de la Vega; R Suardíaz
Journal:  J Chem Phys       Date:  2008-02-28       Impact factor: 3.488

6.  Sigma-hole bonding between like atoms; a fallacy of atomic charges.

Authors:  Peter Politzer; Jane S Murray; Monica C Concha
Journal:  J Mol Model       Date:  2008-03-04       Impact factor: 1.810

7.  A consistent dataset of kinetic solubilities for early-phase drug discovery.

Authors:  Christian Kramer; Tilmann Heinisch; Thilo Fligge; Bernd Beck; Timothy Clark
Journal:  ChemMedChem       Date:  2009-09       Impact factor: 3.466

8.  Halogen bonding: the sigma-hole. Proceedings of "Modeling interactions in biomolecules II", Prague, September 5th-9th, 2005.

Authors:  Timothy Clark; Matthias Hennemann; Jane S Murray; Peter Politzer
Journal:  J Mol Model       Date:  2006-08-23       Impact factor: 1.810

9.  Towards an integrated description of hydrogen bonding and dehydration: decreasing false positives in virtual screening with the HYDE scoring function.

Authors:  Ingo Reulecke; Gudrun Lange; Jürgen Albrecht; Robert Klein; Matthias Rarey
Journal:  ChemMedChem       Date:  2008-06       Impact factor: 3.466

10.  Application of multipolar charge models and molecular dynamics simulations to study stark shifts in inhomogeneous electric fields.

Authors:  Michael Devereux; Nuria Plattner; Markus Meuwly
Journal:  J Phys Chem A       Date:  2009-11-26       Impact factor: 2.781

View more
  2 in total

1.  pK(a) based protonation states and microspecies for protein-ligand docking.

Authors:  Tim ten Brink; Thomas E Exner
Journal:  J Comput Aided Mol Des       Date:  2010-09-30       Impact factor: 3.686

2.  Assessment of tautomer distribution using the condensed reaction graph approach.

Authors:  T R Gimadiev; T I Madzhidov; R I Nugmanov; I I Baskin; I S Antipin; A Varnek
Journal:  J Comput Aided Mol Des       Date:  2018-01-29       Impact factor: 3.686

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.