Literature DB >> 28064377

Octopus: a platform for the virtual high-throughput screening of a pool of compounds against a set of molecular targets.

Eduardo Habib Bechelane Maia1,2, Vinícius Alves Campos1,2, Bianca Dos Reis Santos1,2, Marina Santos Costa1,2, Iann Gabriel Lima1,2, Sandro J Greco3, Rosy I M A Ribeiro1, Felipe M Munayer3, Alisson Marques da Silva3, Alex Gutterres Taranto4.   

Abstract

Octopus is an automated workflow management tool that is scalable for virtual high-throughput screening (vHTS). It integrates MOPAC2016, MGLTools, PyMOL, and AutoDock Vina. In contrast to other platforms, Octopus can perform docking simulations of an unlimited number of compounds into a set of molecular targets. After generating the ligands in a drawing package in the Protein Data Bank (PDB) format, Octopus can carry out geometry refinement using the semi-empirical method PM7 implemented in MOPAC2016. Docking simulations can be performed using AutoDock Vina and can utilize the Our Own Molecular Targets (OOMT) databank. Finally, the proposed software compiles the best binding energies into a standard table. Here, we describe two successful case studies that were verified by biological assay. In the first case study, the vHTS process was carried out for 22 (phenylamino)urea derivatives. The vHTS process identified a metalloprotease with the PDB code 1GKC as a molecular target for derivative LE&007. In a biological assay, compound LE&007 was found to inhibit 80% of the activity of this enzyme. In the second case study, compound Tx001 was submitted to the Octopus routine, and the results suggested that Plasmodium falciparum ATP6 (PfATP6) as a molecular target for this compound. Following an antimalarial assay, Tx001 was found to have an inhibitory concentration (IC50) of 8.2 μM against PfATP6. These successful examples illustrate the utility of this software for finding appropriate molecular targets for compounds. Hits can then be identified and optimized as new antineoplastic and antimalarial drugs. Finally, Octopus has a friendly Linux-based user interface, and is available at www.drugdiscovery.com.br . Graphical Abstract Octopus: A platform for inverse virtual screening (IVS) to search new molecular targets for drugs.

Entities:  

Keywords:  Docking; Structure-based drug design; Virtual screening

Year:  2017        PMID: 28064377     DOI: 10.1007/s00894-016-3184-9

Source DB:  PubMed          Journal:  J Mol Model        ISSN: 0948-5023            Impact factor:   1.810


  45 in total

1.  EUDOC: a computer program for identification of drug interaction sites in macromolecules and drug leads from chemical databases.

Authors:  Yuan-Ping Pang; Emanuele Perola; Kun Xu; Franklyn G. Prendergast
Journal:  J Comput Chem       Date:  2001-11-30       Impact factor: 3.376

Review 2.  A review of protein-small molecule docking methods.

Authors:  R D Taylor; P J Jewsbury; J W Essex
Journal:  J Comput Aided Mol Des       Date:  2002-03       Impact factor: 3.686

3.  Glide: a new approach for rapid, accurate docking and scoring. 1. Method and assessment of docking accuracy.

Authors:  Richard A Friesner; Jay L Banks; Robert B Murphy; Thomas A Halgren; Jasna J Klicic; Daniel T Mainz; Matthew P Repasky; Eric H Knoll; Mee Shelley; Jason K Perry; David E Shaw; Perry Francis; Peter S Shenkin
Journal:  J Med Chem       Date:  2004-03-25       Impact factor: 7.446

4.  ZINC--a free database of commercially available compounds for virtual screening.

Authors:  John J Irwin; Brian K Shoichet
Journal:  J Chem Inf Model       Date:  2005 Jan-Feb       Impact factor: 4.956

5.  Hammerhead: fast, fully automated docking of flexible ligands to protein binding sites.

Authors:  W Welch; J Ruppert; A N Jain
Journal:  Chem Biol       Date:  1996-06

Review 6.  Virtual Screening Techniques and Current Computational Infrastructures.

Authors:  Jason H Haga; Kohei Ichikawa; Susumu Date
Journal:  Curr Pharm Des       Date:  2016       Impact factor: 3.116

7.  HOOK: a program for finding novel molecular architectures that satisfy the chemical and steric requirements of a macromolecule binding site.

Authors:  M B Eisen; D C Wiley; M Karplus; R E Hubbard
Journal:  Proteins       Date:  1994-07

8.  Docking challenge: protein sampling and molecular docking performance.

Authors:  Khaled M Elokely; Robert J Doerksen
Journal:  J Chem Inf Model       Date:  2013-04-15       Impact factor: 4.956

9.  AutoDock4 and AutoDockTools4: Automated docking with selective receptor flexibility.

Authors:  Garrett M Morris; Ruth Huey; William Lindstrom; Michel F Sanner; Richard K Belew; David S Goodsell; Arthur J Olson
Journal:  J Comput Chem       Date:  2009-12       Impact factor: 3.376

10.  1001 Ways to run AutoDock Vina for virtual screening.

Authors:  Mohammad Mahdi Jaghoori; Boris Bleijlevens; Silvia D Olabarriaga
Journal:  J Comput Aided Mol Des       Date:  2016-02-20       Impact factor: 3.686

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  5 in total

1.  Docking-based virtual screening of Brazilian natural compounds using the OOMT as the pharmacological target database.

Authors:  Ana Paula Carregal; Flávia V Maciel; Juliano B Carregal; Bianca Dos Reis Santos; Alisson Marques da Silva; Alex G Taranto
Journal:  J Mol Model       Date:  2017-03-11       Impact factor: 1.810

2.  Evaluation of antiplasmodial activity in silico and in vitro of N-acylhydrazone derivatives.

Authors:  Fernanda A Oliveira; Ana Claudia S Pinto; Caique L Duarte; Alex G Taranto; Eder Lorenzato Junior; Cleydson Finotti Cordeiro; Diogo T Carvalho; Fernando P Varotti; Amanda L Fonseca
Journal:  BMC Chem       Date:  2022-07-09

3.  Methyl Chavicol and Its Synthetic Analogue as Possible Antioxidant and Antilipase Agents Based on the In Vitro and In Silico Assays.

Authors:  Bruna Celeida Silva Santos; Andressa Soares Pires; Célia Hitomi Yamamoto; Mara Rubia Costa Couri; Alex Gutterres Taranto; Maria Silvana Alves; Ana Lúcia Dos Santos de Matos Araújo; Orlando Vieira de Sousa
Journal:  Oxid Med Cell Longev       Date:  2018-04-11       Impact factor: 6.543

4.  Dehydrobufotenin extracted from the Amazonian toad Rhinella marina (Anura: Bufonidae) as a prototype molecule for the development of antiplasmodial drugs.

Authors:  Felipe Finger Banfi; Gabriela Camila Krombauer; Amanda Luisa da Fonseca; Renata Rachide Nunes; Silmara Nunes Andrade; Millena Alves de Rezende; Mariana Helena Chaves; Evaldo Dos Santos Monção; Alex Guterres Taranto; Domingos de Jesus Rodrigues; Gerardo Magela Vieira; Whocely Victor de Castro; Fernando de Pilla Varotti; Bruno Antonio Marinho Sanchez
Journal:  J Venom Anim Toxins Incl Trop Dis       Date:  2021-01-08

Review 5.  Structure-Based Virtual Screening: From Classical to Artificial Intelligence.

Authors:  Eduardo Habib Bechelane Maia; Letícia Cristina Assis; Tiago Alves de Oliveira; Alisson Marques da Silva; Alex Gutterres Taranto
Journal:  Front Chem       Date:  2020-04-28       Impact factor: 5.221

  5 in total

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