Literature DB >> 23617275

LiGen: a high performance workflow for chemistry driven de novo design.

Andrea R Beccari1, Carlo Cavazzoni, Claudia Beato, Gabriele Costantino.   

Abstract

Tools for molecular de novo design are actively sought incorporating sets of chemical rules for fast and efficient identification of structurally new chemotypes endowed with a desired set of biological properties. In this paper, we present LiGen, a suite of programs which can be used sequentially or as stand-alone tools for specific purposes. In its standard application, LiGen modules are used to define input constraints, either structure-based, through active site identification, or ligand-based, through pharmacophore definition, to docking and to de novo generation. Alternatively, individual modules can be combined in a user-defined manner to generate project-centric workflows. Specific features of LiGen are the use of a pharmacophore-based docking procedure which allows flexible docking without conformer enumeration and accurate and flexible reactant mapping coupled with reactant tagging through substructure searching. The full description of LiGen functionalities is presented.

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Year:  2013        PMID: 23617275     DOI: 10.1021/ci400078g

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


  11 in total

1.  Customizable de novo design strategies for DOCK: Application to HIVgp41 and other therapeutic targets.

Authors:  William J Allen; Brian C Fochtman; Trent E Balius; Robert C Rizzo
Journal:  J Comput Chem       Date:  2017-09-22       Impact factor: 3.376

2.  Identification of Inhibitors of SARS-CoV-2 3CL-Pro Enzymatic Activity Using a Small Molecule in Vitro Repurposing Screen.

Authors:  Maria Kuzikov; Elisa Costanzi; Jeanette Reinshagen; Francesca Esposito; Laura Vangeel; Markus Wolf; Bernhard Ellinger; Carsten Claussen; Gerd Geisslinger; Angela Corona; Daniela Iaconis; Carmine Talarico; Candida Manelfi; Rolando Cannalire; Giulia Rossetti; Jonas Gossen; Simone Albani; Francesco Musiani; Katja Herzog; Yang Ye; Barbara Giabbai; Nicola Demitri; Dirk Jochmans; Steven De Jonghe; Jasper Rymenants; Vincenzo Summa; Enzo Tramontano; Andrea R Beccari; Pieter Leyssen; Paola Storici; Johan Neyts; Philip Gribbon; Andrea Zaliani
Journal:  ACS Pharmacol Transl Sci       Date:  2021-03-11

3.  BCL::MolAlign: Three-Dimensional Small Molecule Alignment for Pharmacophore Mapping.

Authors:  Benjamin P Brown; Jeffrey Mendenhall; Jens Meiler
Journal:  J Chem Inf Model       Date:  2019-02-12       Impact factor: 4.956

4.  CReM: chemically reasonable mutations framework for structure generation.

Authors:  Pavel Polishchuk
Journal:  J Cheminform       Date:  2020-04-22       Impact factor: 5.514

5.  Combining Different Docking Engines and Consensus Strategies to Design and Validate Optimized Virtual Screening Protocols for the SARS-CoV-2 3CL Protease.

Authors:  Candida Manelfi; Jonas Gossen; Silvia Gervasoni; Carmine Talarico; Simone Albani; Benjamin Joseph Philipp; Francesco Musiani; Giulio Vistoli; Giulia Rossetti; Andrea Rosario Beccari; Alessandro Pedretti
Journal:  Molecules       Date:  2021-02-04       Impact factor: 4.411

6.  Cytopathic SARS-CoV-2 screening on VERO-E6 cells in a large-scale repurposing effort.

Authors:  Andrea Zaliani; Laura Vangeel; Jeanette Reinshagen; Daniela Iaconis; Maria Kuzikov; Oliver Keminer; Markus Wolf; Bernhard Ellinger; Francesca Esposito; Angela Corona; Enzo Tramontano; Candida Manelfi; Katja Herzog; Dirk Jochmans; Steven De Jonghe; Winston Chiu; Thibault Francken; Joost Schepers; Caroline Collard; Kayvan Abbasi; Carsten Claussen; Vincenzo Summa; Andrea R Beccari; Johan Neyts; Philip Gribbon; Pieter Leyssen
Journal:  Sci Data       Date:  2022-07-13       Impact factor: 8.501

7.  Novel selective, potent naphthyl TRPM8 antagonists identified through a combined ligand- and structure-based virtual screening approach.

Authors:  Andrea R Beccari; Marica Gemei; Matteo Lo Monte; Nazareno Menegatti; Marco Fanton; Alessandro Pedretti; Silvia Bovolenta; Cinzia Nucci; Angela Molteni; Andrea Rossignoli; Laura Brandolini; Alessandro Taddei; Lorena Za; Chiara Liberati; Giulio Vistoli
Journal:  Sci Rep       Date:  2017-09-08       Impact factor: 4.379

8.  Combining Molecular Dynamics and Docking Simulations to Develop Targeted Protocols for Performing Optimized Virtual Screening Campaigns on The hTRPM8 Channel.

Authors:  Carmine Talarico; Silvia Gervasoni; Candida Manelfi; Alessandro Pedretti; Giulio Vistoli; Andrea R Beccari
Journal:  Int J Mol Sci       Date:  2020-03-25       Impact factor: 5.923

9.  Binding Mode Exploration of B1 Receptor Antagonists' by the Use of Molecular Dynamics and Docking Simulation-How Different Target Engagement Can Determine Different Biological Effects.

Authors:  Marica Gemei; Carmine Talarico; Laura Brandolini; Candida Manelfi; Lorena Za; Silvia Bovolenta; Chiara Liberati; Luigi Del Vecchio; Roberto Russo; Carmen Cerchia; Marcello Allegretti; Andrea Rosario Beccari
Journal:  Int J Mol Sci       Date:  2020-10-16       Impact factor: 5.923

10.  A Review on Parallel Virtual Screening Softwares for High-Performance Computers.

Authors:  Natarajan Arul Murugan; Artur Podobas; Davide Gadioli; Emanuele Vitali; Gianluca Palermo; Stefano Markidis
Journal:  Pharmaceuticals (Basel)       Date:  2022-01-04
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