Literature DB >> 16562982

The molecule evoluator. An interactive evolutionary algorithm for the design of drug-like molecules.

Eric-Wubbo Lameijer1, Joost N Kok, Thomas Bäck, Ad P Ijzerman.   

Abstract

We developed a software tool to design drug-like molecules, the "Molecule Evoluator", which we introduce and describe here. An atom-based evolutionary approach was used allowing both several types of mutation and crossover to occur. The novelty, we claim, is the unprecedented interactive evolution, in which the user acts as a fitness function. This brings a human being's creativity, implicit knowledge, and imagination into the design process, next to the more standard chemical rules. Proof-of-concept was demonstrated in a number of ways, both computationally and in the lab. Thus, we synthesized a number of compounds designed with the aid of the Molecule Evoluator. One of these is described here, a new chemical entity with activity on alpha-adrenergic receptors.

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Year:  2006        PMID: 16562982     DOI: 10.1021/ci050369d

Source DB:  PubMed          Journal:  J Chem Inf Model        ISSN: 1549-9596            Impact factor:   4.956


  5 in total

1.  Design of SARS-CoV-2 Main Protease Inhibitors Using Artificial Intelligence and Molecular Dynamic Simulations.

Authors:  Lars Elend; Luise Jacobsen; Tim Cofala; Jonas Prellberg; Thomas Teusch; Oliver Kramer; Ilia A Solov'yov
Journal:  Molecules       Date:  2022-06-22       Impact factor: 4.927

2.  Molpher: a software framework for systematic chemical space exploration.

Authors:  David Hoksza; Petr Skoda; Milan Voršilák; Daniel Svozil
Journal:  J Cheminform       Date:  2014-03-21       Impact factor: 5.514

3.  Bayesian molecular design with a chemical language model.

Authors:  Hisaki Ikebata; Kenta Hongo; Tetsu Isomura; Ryo Maezono; Ryo Yoshida
Journal:  J Comput Aided Mol Des       Date:  2017-03-09       Impact factor: 3.686

4.  Cyndi: a multi-objective evolution algorithm based method for bioactive molecular conformational generation.

Authors:  Xiaofeng Liu; Fang Bai; Sisheng Ouyang; Xicheng Wang; Honglin Li; Hualiang Jiang
Journal:  BMC Bioinformatics       Date:  2009-03-31       Impact factor: 3.169

5.  Interactive evolutionary computation with minimum fitness evaluation requirement and offline algorithm design.

Authors:  Hisao Ishibuchi; Takahiko Sudo; Yusuke Nojima
Journal:  Springerplus       Date:  2016-02-27
  5 in total

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