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AUTODOCK GmbH autodock's default genetic algorithm
Autodock's Default Genetic Algorithm, supplied by AUTODOCK GmbH, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/genetic+algorithms+autodock/autodock+s+default+genetic+algorithm/pm40615820-159-13-12
Average 90 stars, based on 1 article reviews
autodock's default genetic algorithm - by Bioz Stars, 2026-10
90/100 stars

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Article Title: On the applicability of elastic network normal modes in small-molecule docking.
Article Snippet: Incorporating backbone flexibility into protein−ligand docking is still a challenging problem.. In protein−protein docking, normal mode analysis (NMA) has become increasingly popular as it can be used to describe the collective motions of a biological system, but the question of whether NMA can also be useful in predicting the conformational changes observed upon small-molecule binding has only been addressed in a few case studies.. Here, we describe a largescale study on the applicability of NMA for protein−ligand docking using 433 apo/holo pairs of the Astex data sets.

Article Title: Update and New Insights on Future Cancer Drug Candidates From Plant-Based Alkaloids
Article Snippet: One of the most widely applied groups of docking algorithms used in the de novo drug design is genetic algorithms used by docking software such as AutoDock ( ) , GOLD ( ) , GANDI , and PhDD (pharmacophore-based de novo design) ( ) .

Article Title: Computational Methods of Studying the Binding of Toxins From Venomous Animals to Biological Ion Channels: Theory and Applications
Article Snippet: Instead, techniques such as genetic algorithms [employed in AUTODOCK ( 170 ) and GOLD ( 239 )], simulated annealing [employed in HADDOCK ( 44 , 70 )], or Monte-Carlo sampling [employed in GLIDE ( 204 ) and MCDOCK ( 150 )] are required.

Sampling:

Article Title: Rational design approaches to chemical libraries for hit identification.
Article Snippet: Sequencing of the human genome along with developments in combinatorial synthesis and high-throughput biological screening provide unparallel opportunities to drug discovery.. It has been noted that the increased number of synthesized and annotated compounds did not yield the expected increase in number of viable drug candidates.. To address this problem, several novel computation technologies have emerged for making combinatorial library design costeffective.



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