Literature DB >> 28233410

Conformational energy range of ligands in protein crystal structures: The difficult quest for accurate understanding.

Megan L Peach1, Raul E Cachau2, Marc C Nicklaus3.   

Abstract

In this review, we address a fundamental question: What is the range of conformational energies seen in ligands in protein-ligand crystal structures? This value is important biophysically, for better understanding the protein-ligand binding process; and practically, for providing a parameter to be used in many computational drug design methods such as docking and pharmacophore searches. We synthesize a selection of previously reported conflicting results from computational studies of this issue and conclude that high ligand conformational energies really are present in some crystal structures. The main source of disagreement between different analyses appears to be due to divergent treatments of electrostatics and solvation. At the same time, however, for many ligands, a high conformational energy is in error, due to either crystal structure inaccuracies or incorrect determination of the reference state. Aside from simple chemistry mistakes, we argue that crystal structure error may mainly be because of the heuristic weighting of ligand stereochemical restraints relative to the fit of the structure to the electron density. This problem cannot be fixed with improvements to electron density fitting or with simple ligand geometry checks, though better metrics are needed for evaluating ligand and binding site chemistry in addition to geometry during structure refinement. The ultimate solution for accurately determining ligand conformational energies lies in ultrahigh-resolution crystal structures that can be refined without restraints. Published 2017. This article has been contributed to by US Government employees and their work is in the public domain in the USA.

Entities:  

Keywords:  X-ray crystallography; conformational energy; molecular modeling; protein binding; quality metrics; structure refinement; thermodynamics

Mesh:

Substances:

Year:  2017        PMID: 28233410      PMCID: PMC5553890          DOI: 10.1002/jmr.2618

Source DB:  PubMed          Journal:  J Mol Recognit        ISSN: 0952-3499            Impact factor:   2.137


  112 in total

1.  MIMUMBA revisited: torsion angle rules for conformer generation derived from X-ray structures.

Authors:  Jens Sadowski; Jonas Boström
Journal:  J Chem Inf Model       Date:  2006 Nov-Dec       Impact factor: 4.956

2.  Conformational sampling of druglike molecules with MOE and catalyst: implications for pharmacophore modeling and virtual screening.

Authors:  I-Jen Chen; Nicolas Foloppe
Journal:  J Chem Inf Model       Date:  2008-09-03       Impact factor: 4.956

3.  Deviations from planarity of the peptide bond in peptides and proteins.

Authors:  M W MacArthur; J M Thornton
Journal:  J Mol Biol       Date:  1996-12-20       Impact factor: 5.469

4.  Cross-validated maximum likelihood enhances crystallographic simulated annealing refinement.

Authors:  P D Adams; N S Pannu; R J Read; A T Brünger
Journal:  Proc Natl Acad Sci U S A       Date:  1997-05-13       Impact factor: 11.205

5.  Conformer generation with OMEGA: learning from the data set and the analysis of failures.

Authors:  Paul C D Hawkins; Anthony Nicholls
Journal:  J Chem Inf Model       Date:  2012-11-12       Impact factor: 4.956

6.  Accurate macromolecular crystallographic refinement: incorporation of the linear scaling, semiempirical quantum-mechanics program DivCon into the PHENIX refinement package.

Authors:  Oleg Y Borbulevych; Joshua A Plumley; Roger I Martin; Kenneth M Merz; Lance M Westerhoff
Journal:  Acta Crystallogr D Biol Crystallogr       Date:  2014-04-26

7.  New insights into the enzymatic mechanism of human chitotriosidase (CHIT1) catalytic domain by atomic resolution X-ray diffraction and hybrid QM/MM.

Authors:  Firas Fadel; Yuguang Zhao; Raul Cachau; Alexandra Cousido-Siah; Francesc X Ruiz; Karl Harlos; Eduardo Howard; Andre Mitschler; Alberto Podjarny
Journal:  Acta Crystallogr D Biol Crystallogr       Date:  2015-06-30

8.  A fast and efficient method to generate biologically relevant conformations.

Authors:  G Klebe; T Mietzner
Journal:  J Comput Aided Mol Des       Date:  1994-10       Impact factor: 3.686

9.  Are current semiempirical methods better than force fields? A study from the thermodynamics perspective.

Authors:  Gustavo de M Seabra; Ross C Walker; Adrian E Roitberg
Journal:  J Phys Chem A       Date:  2009-10-29       Impact factor: 2.781

Review 10.  Hydrogen bonding and pi-stacking: how reliable are force fields? A critical evaluation of force field descriptions of nonbonded interactions.

Authors:  Robert S Paton; Jonathan M Goodman
Journal:  J Chem Inf Model       Date:  2009-04       Impact factor: 4.956

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  5 in total

1.  Increased Molecular Flexibility Widens the Gap between K i and K d values in Screening for Retinoid X Receptor Modulators.

Authors:  Masaki Watanabe; Mariko Nakamura-Nakayama; Michiko Fujihara; Mayu Kawasaki; Shogo Nakano; Hiroki Kakuta
Journal:  ACS Med Chem Lett       Date:  2022-01-21       Impact factor: 4.345

2.  Ligand Strain Energy in Large Library Docking.

Authors:  Shuo Gu; Matthew S Smith; Ying Yang; John J Irwin; Brian K Shoichet
Journal:  J Chem Inf Model       Date:  2021-09-01       Impact factor: 6.162

3.  Computational design of a sensitive, selective phase-changing sensor protein for the VX nerve agent.

Authors:  James J McCann; Douglas H Pike; Mia C Brown; David T Crouse; Vikas Nanda; Ronald L Koder
Journal:  Sci Adv       Date:  2022-07-06       Impact factor: 14.957

4.  Macromolecular refinement of X-ray and cryoelectron microscopy structures with Phenix/OPLS3e for improved structure and ligand quality.

Authors:  Gydo C P van Zundert; Nigel W Moriarty; Oleg V Sobolev; Paul D Adams; Kenneth W Borrelli
Journal:  Structure       Date:  2021-04-05       Impact factor: 5.871

5.  Conformational analysis of macrocycles: comparing general and specialized methods.

Authors:  Gustav Olanders; Hiba Alogheli; Peter Brandt; Anders Karlén
Journal:  J Comput Aided Mol Des       Date:  2020-01-21       Impact factor: 3.686

  5 in total

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