Literature DB >> 15154776

A graph-based genetic algorithm and its application to the multiobjective evolution of median molecules.

Nathan Brown1, Ben McKay, François Gilardoni, Johann Gasteiger.   

Abstract

In this paper we propose a novel graph-based genetic algorithm for the evolution of novel molecular graphs from a predefined set of elements or molecular fragments with an external objective function. A brief overview of existing genetic algorithm approaches in molecular design is provided followed by a description of our approach. The paper continues to suggest a novel application of this program to the multiobjective evolution of median molecules that are structurally representative of a set of objective molecules. We conclude with a summary of our initial results along with a discussion of a variety of improvements and applications of our approach.

Mesh:

Year:  2004        PMID: 15154776     DOI: 10.1021/ci034290p

Source DB:  PubMed          Journal:  J Chem Inf Comput Sci        ISSN: 0095-2338


  21 in total

1.  Generation of multiple pharmacophore hypotheses using multiobjective optimisation techniques.

Authors:  Simon J Cottrell; Valerie J Gillet; Robin Taylor; David J Wilton
Journal:  J Comput Aided Mol Des       Date:  2004-11       Impact factor: 3.686

2.  The de novo design of median molecules within a property range of interest.

Authors:  Nathan Brown; Ben McKay; Johann Gasteiger
Journal:  J Comput Aided Mol Des       Date:  2005-06-27       Impact factor: 3.686

3.  A novel workflow for the inverse QSPR problem using multiobjective optimization.

Authors:  Nathan Brown; Ben McKay; Johann Gasteiger
Journal:  J Comput Aided Mol Des       Date:  2006-09-21       Impact factor: 3.686

4.  The concept of template-based de novo design from drug-derived molecular fragments and its application to TAR RNA.

Authors:  Andreas Schüller; Marcel Suhartono; Uli Fechner; Yusuf Tanrikulu; Sven Breitung; Ute Scheffer; Michael W Göbel; Gisbert Schneider
Journal:  J Comput Aided Mol Des       Date:  2007-12-07       Impact factor: 3.686

Review 5.  Computational methods in drug discovery.

Authors:  Gregory Sliwoski; Sandeepkumar Kothiwale; Jens Meiler; Edward W Lowe
Journal:  Pharmacol Rev       Date:  2013-12-31       Impact factor: 25.468

6.  iScreen: world's first cloud-computing web server for virtual screening and de novo drug design based on TCM database@Taiwan.

Authors:  Tsung-Ying Tsai; Kai-Wei Chang; Calvin Yu-Chian Chen
Journal:  J Comput Aided Mol Des       Date:  2011-06-07       Impact factor: 3.686

7.  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

8.  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

9.  Discovery of SARS-CoV-2 main protease inhibitors using a synthesis-directed de novo design model.

Authors:  Aaron Morris; William McCorkindale; The Covid Moonshot Consortium; Nir Drayman; John D Chodera; Savaş Tay; Nir London; Alpha A Lee
Journal:  Chem Commun (Camb)       Date:  2021-06-15       Impact factor: 6.222

10.  Automated design of ligands to polypharmacological profiles.

Authors:  Jérémy Besnard; Gian Filippo Ruda; Vincent Setola; Keren Abecassis; Ramona M Rodriguiz; Xi-Ping Huang; Suzanne Norval; Maria F Sassano; Antony I Shin; Lauren A Webster; Frederick R C Simeons; Laste Stojanovski; Annik Prat; Nabil G Seidah; Daniel B Constam; G Richard Bickerton; Kevin D Read; William C Wetsel; Ian H Gilbert; Bryan L Roth; Andrew L Hopkins
Journal:  Nature       Date:  2012-12-13       Impact factor: 49.962

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