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Journal ArticleDOI

Development and validation of a genetic algorithm for flexible docking.

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TLDR
GOLD (Genetic Optimisation for Ligand Docking) is an automated ligand docking program that uses a genetic algorithm to explore the full range of ligand conformational flexibility with partial flexibility of the protein, and satisfies the fundamental requirement that the ligand must displace loosely bound water on binding.
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This article is published in Journal of Molecular Biology.The article was published on 1997-04-04. It has received 5882 citations till now. The article focuses on the topics: Searching the conformational space for docking & Protein–ligand docking.

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Citations
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Antiviral potential and molecular insight into neuraminidase inhibiting diarylheptanoids from Alpinia katsumadai.

TL;DR: Docking results showed well-established interactions between the protein and the core of this novel NA-inhibiting natural scaffold, excellent surface complementarity to the simulated binding pocket, and concordance with experimentally derived SAR data.
Journal ArticleDOI

Potent Antimalarial Activity of Histone Deacetylase Inhibitor Analogues

TL;DR: Results support PfHDAC enzymes as being promising targets for new antimalarial drug targets, based on homology modeling with human class I and class II HDAC enzymes.
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AADS--an automated active site identification, docking, and scoring protocol for protein targets based on physicochemical descriptors

TL;DR: A robust automated active site detection, docking, and scoring (AADS) protocol for proteins with known structures that predicts structure and energetics of the complexes agree quite well with experiment when tested on a data set of 170 protein-ligand complexes withknown structures and binding affinities.
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Challenges Predicting Ligand-Receptor Interactions of Promiscuous Proteins: The Nuclear Receptor PXR

TL;DR: A comprehensive analysis focused on prediction of 115 steroids for ligand binding activity towards human PXR, illustrating modest success using the largest quantitative data set to date and multiple modeling approaches.
Journal ArticleDOI

Lessons in molecular recognition. 2. Assessing and improving cross-docking accuracy.

TL;DR: It is shown that using the protein structure from the complex that contains the bound ligand most similar to the docked ligand increases docking accuracy for all methods ("similarity selection"), and that models for predicting docking accuracy built using these parameters can be used to select the most appropriate docking method.
References
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Book

Genetic algorithms in search, optimization, and machine learning

TL;DR: In this article, the authors present the computer techniques, mathematical tools, and research results that will enable both students and practitioners to apply genetic algorithms to problems in many fields, including computer programming and mathematics.

Genetic algorithms in search, optimization and machine learning

TL;DR: This book brings together the computer techniques, mathematical tools, and research results that will enable both students and practitioners to apply genetic algorithms to problems in many fields.
Book

Adaptation in natural and artificial systems

TL;DR: Names of founding work in the area of Adaptation and modiication, which aims to mimic biological optimization, and some (Non-GA) branches of AI.
Book

Molecular theory of gases and liquids

TL;DR: Molecular theory of gases and liquids as mentioned in this paper, molecular theory of gas and liquids, Molecular theory of liquid and gas, molecular theories of gases, and liquid theory of liquids, مرکز
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