Literature DB >> 12801239

SYNOPSIS: SYNthesize and OPtimize System in Silico.

H Maarten Vinkers1, Marc R de Jonge, Frederik F D Daeyaert, Jan Heeres, Lucien M H Koymans, Joop H van Lenthe, Paul J Lewi, Henk Timmerman, Koen Van Aken, Paul A J Janssen.   

Abstract

We present a de novo design program called SYNOPSIS, that includes a synthesis route for each generated molecule. SYNOPSIS designs novel molecules by starting from a database of available molecules and simulating organic synthesis steps. This way of generating molecules imposes synthetic accessibility on the molecules. In addition to a starting database, a fitness function is needed that calculates the value of a desired property for an arbitrary molecule. The values obtained from this function guide the design process in optimizing the molecules toward an optimal value of the calculated property. Two applications are described. The first uses an electric dipole moment calculation to generate molecules possessing a strong dipole moment. The second makes use of the three-dimensional structure of a viral enzyme in order to generate high affinity ligands. Twenty eight compounds designed with the program resulted in 18 synthesized and tested compounds, 10 of which showed HIV inhibitory activity in vitro.

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Year:  2003        PMID: 12801239     DOI: 10.1021/jm030809x

Source DB:  PubMed          Journal:  J Med Chem        ISSN: 0022-2623            Impact factor:   7.446


  24 in total

1.  Inhibition and substrate recognition--a computational approach applied to HIV protease.

Authors:  H M Vinkers; M R de Jonge; E D Daeyaert; J Heeres; L M H Koymans; J H van Lenthe; P J Lewi; H Timmerman; P A J Janssen
Journal:  J Comput Aided Mol Des       Date:  2003-09       Impact factor: 3.686

2.  Designing the molecular future.

Authors:  Gisbert Schneider
Journal:  J Comput Aided Mol Des       Date:  2011-11-30       Impact factor: 3.686

Review 3.  From laptop to benchtop to bedside: structure-based drug design on protein targets.

Authors:  Lu Chen; John K Morrow; Hoang T Tran; Sharangdhar S Phatak; Lei Du-Cuny; Shuxing Zhang
Journal:  Curr Pharm Des       Date:  2012       Impact factor: 3.116

Review 4.  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

5.  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

6.  In Silico Design and Evaluation of Carboxylesterase Inhibitors.

Authors:  Shana V Stoddard; Xiaozhen Yu; Philip M Potter; Randy M Wadkins
Journal:  J Pest Sci (2004)       Date:  2010       Impact factor: 5.918

7.  AutoGrow: a novel algorithm for protein inhibitor design.

Authors:  Jacob D Durrant; Rommie E Amaro; J Andrew McCammon
Journal:  Chem Biol Drug Des       Date:  2009-02       Impact factor: 2.817

8.  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

9.  DOGS: reaction-driven de novo design of bioactive compounds.

Authors:  Markus Hartenfeller; Heiko Zettl; Miriam Walter; Matthias Rupp; Felix Reisen; Ewgenij Proschak; Sascha Weggen; Holger Stark; Gisbert Schneider
Journal:  PLoS Comput Biol       Date:  2012-02-16       Impact factor: 4.475

10.  RENATE: A Pseudo-retrosynthetic Tool for Synthetically Accessible de novo Design.

Authors:  Gian Marco Ghiandoni; Michael J Bodkin; Beining Chen; Dimitar Hristozov; James E A Wallace; James Webster; Valerie J Gillet
Journal:  Mol Inform       Date:  2021-11-08       Impact factor: 4.050

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