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Empirical scoring functions: I. The development of a fast empirical scoring function to estimate the binding affinity of ligands in receptor complexes

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TLDR
A simple empirical scoring function designed to estimate the free energy of binding for aprotein–ligand complex when the 3D structure of the complex is known or can be approximated and it is compared to approaches by other workers.
Abstract
This paper describes the development of a simple empirical scoring function designed to estimate the free energy of binding for a protein-ligand complex when the 3D structure of the complex is known or can be approximated. The function uses simple contact terms to estimate lipophilic and metal-ligand binding contributions, a simple explicit form for hydrogen bonds and a term which penalises flexibility. The coefficients of each term are obtained using a regression based on 82 ligand-receptor complexes for which the binding affinity is known. The function reproduces the binding affinity of the complexes with a cross-validated error of 8.68 kJ/mol. Tests on internal consistency indicate that the coefficients obtained are stable to changes in the composition of the training set. The function is also tested on two test sets containing a further 20 and 10 complexes, respectively. The deficiencies of this type of function are discussed and it is compared to approaches by other workers.

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Glide: a new approach for rapid, accurate docking and scoring. 1. Method and assessment of docking accuracy.

TL;DR: Glide approximates a complete systematic search of the conformational, orientational, and positional space of the docked ligand to find the best docked pose using a model energy function that combines empirical and force-field-based terms.
Journal ArticleDOI

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

TL;DR: Comparisons to results for the thymidine kinase and estrogen receptors published by Rognan and co-workers show that Glide 2.5 performs better than GOLD 1.1, FlexX 1.8, or DOCK 4.01.
Journal ArticleDOI

Extra Precision Glide: Docking and Scoring Incorporating a Model of Hydrophobic Enclosure for Protein-Ligand Complexes

TL;DR: Enrichment results demonstrate the importance of the novel XP molecular recognition and water scoring in separating active and inactive ligands and avoiding false positives.
Journal ArticleDOI

Docking and scoring in virtual screening for drug discovery: methods and applications.

TL;DR: Key concepts and specific features of small-molecule–protein docking methods are reviewed, selected applications are highlighted and recent advances that aim to address the acknowledged limitations of established approaches are discussed.
Journal ArticleDOI

Improved protein-ligand docking using GOLD.

TL;DR: In terms of producing binding energy estimates, the Goldscore function appears to perform better than the Chemscore function and the two consensus protocols, particularly for faster search settings.
References
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Journal ArticleDOI

The Protein Data Bank: a computer-based archival file for macromolecular structures.

TL;DR: The Protein Data Bank is a computer-based archival file for macromolecular structures that stores in a uniform format atomic co-ordinates and partial bond connectivities, as derived from crystallographic studies.
Book

Enzyme structure and mechanism

TL;DR: The second edition of this biological reference aimed at undergraduates and graduates is as mentioned in this paper, which covers the structure and mechanism of enzymes, creating a guide to the current understanding of enzymology.
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A Fast Flexible Docking Method using an Incremental Construction Algorithm

TL;DR: This work presents an automatic method for docking organic ligands into protein binding sites that combines an appropriate model of the physico-chemical properties of the docked molecules with efficient methods for sampling the conformational space of the ligand.
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Atomic physicochemical parameters for three dimensional structure directed quantitative structure-activity relationships. 4. Additional parameters for hydrophobic and dispersive interactions and their application for an automated superposition of certain naturally occurring nucleoside antibiotics

TL;DR: Les valeurs d'hydrophobicite de 120 types d'atomes sont evalues pour 893 composes a partir des refractivites molaires de 538 composes and la methode de superposition a ete appliquee a des antibiotiques nucleosides naturels isabelle d'un nombre important de composes.
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A New Method for Predicting Binding Affinity in Computer-Aided Drug Design

TL;DR: A new semi-empirical method for calculating free energies of binding from molecular dynamics simulations is presented, based on standard thermodynamic cycles and on a linear approximation of polar and non-polar free energy contributions from the corresponding MD averages.
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