TANGO: A high through-put conformation generation and semiempirical method-based optimization tool for ligand molecules.

conformation generation mopac optimization torsion library

Journal

Journal of computational chemistry
ISSN: 1096-987X
Titre abrégé: J Comput Chem
Pays: United States
ID NLM: 9878362

Informations de publication

Date de publication:
15 03 2019
Historique:
received: 25 06 2018
revised: 05 09 2018
accepted: 17 09 2018
pubmed: 27 10 2018
medline: 27 10 2018
entrez: 27 10 2018
Statut: ppublish

Résumé

Lead optimization is one of the crucial steps in the drug discovery pipeline. After identifying the lead molecule and obtaining its 2D geometry, understanding the best conformation it would attain in 3D still remains one of the most challenging steps in drug discovery. There have been multiple methods and algorithms that are directed toward achieving best conformation for the lead molecules. TANGO focuses on conformation generation and its optimization using semiempirical energy calculations. The conformation generation is based on torsion angle rotation of the exocyclic bonds. The energy calculations are performed using MOPAC. The unique feature of this tool lies in the implementation of Message Passing Interface (MPI) for conformation generation and semiempirical-based optimization. A well-defined architecture handling the input and output generation has been used. The master and slave approach to handle operations involved in torsion angle rotation and energy calculations has helped in load balancing the process of conformation generation. The benchmarking results suggest that TANGO scales significantly well across eight nodes with each node utilizing 16 cores. This tool may prove to very useful in high throughput generation of semiempirically optimized small molecule conformations. The use of semiempirical methods for optimization generates a conformational ensemble thereby helping to obtain stable and alternate stable conformers for a given ligand molecule. © 2018 Wiley Periodicals, Inc.

Identifiants

pubmed: 30365168
doi: 10.1002/jcc.25706
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

900-909

Informations de copyright

© 2018 Wiley Periodicals, Inc.

Auteurs

Vivek Gavane (V)

HPC - Medical & Bioinformatics Applications Group, Centre for Development of Advanced Computing, Pune, India.

Shruti Koulgi (S)

HPC - Medical & Bioinformatics Applications Group, Centre for Development of Advanced Computing, Pune, India.

Vinod Jani (V)

HPC - Medical & Bioinformatics Applications Group, Centre for Development of Advanced Computing, Pune, India.

Mallikarjunachari V N Uppuladinne (MVN)

HPC - Medical & Bioinformatics Applications Group, Centre for Development of Advanced Computing, Pune, India.

Uddhavesh Sonavane (U)

HPC - Medical & Bioinformatics Applications Group, Centre for Development of Advanced Computing, Pune, India.

Rajendra Joshi (R)

HPC - Medical & Bioinformatics Applications Group, Centre for Development of Advanced Computing, Pune, India.

Classifications MeSH