Evidence map›Paper›PMID 26361768›Full record

ArticleJournal of molecular modeling2015

A user-friendly web portal for analyzing conformational changes in structures of Mycobacterium tuberculosis.

Sameer Hassan, Manonanthini Thangam, Praveen Vasudevan, G Ramesh Kumar, Rahul Unni, P K Gayathri Devi, Luke Elizabeth Hanna

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Article in Journal of molecular modeling, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Sameer HassanDepartment of Biomedical Informatics, National Institute for Research in Tuberculosis, Chetpet, Chennai, 600 031, India.
Manonanthini ThangamDepartment of Biomedical Informatics, National Institute for Research in Tuberculosis, Chetpet, Chennai, 600 031, India.
Praveen VasudevanDepartment of Biomedical Informatics, National Institute for Research in Tuberculosis, Chetpet, Chennai, 600 031, India.
G Ramesh KumarAU-KBC Research Centre, Madras Institute of Technology, Anna University, Chromepet, Chennai, India.
Rahul UnniDepartment of Biomedical Informatics, National Institute for Research in Tuberculosis, Chetpet, Chennai, 600 031, India.
P K Gayathri DeviDepartment of Biomedical Informatics, National Institute for Research in Tuberculosis, Chetpet, Chennai, 600 031, India.
Luke Elizabeth HannaDepartment of Biomedical Informatics, National Institute for Research in Tuberculosis, Chetpet, Chennai, 600 031, India. hannatrc@yahoo.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Initiation of the Tuberculosis Structural Consortium has resulted in the expansion of the Mycobacterium tuberculosis (MTB) protein structural database. Currently, 969 experimentally solved structures are available for 354 MTB proteins. This includes multiple crystal structures for a given protein under different functional conditions, such as the presence of different ligands or mutations. In depth analysis of the multiple structures reveal that subtle differences exist in conformations of a given protein under varied conditions. Therefore, it is immensely important to understand the conformational differences between the multiple structures of a given protein in order to select the most suitable structure for molecular docking and structure-based drug designing. Here, we introduce a web portal ( http://bmi.icmr.org.in/mtbsd/torsion.php ) that we developed to provide comparative data on the ensemble of available structures of MTB proteins, such as Cα root means square deviation (RMSD), sequence identity, presence of mutations and torsion angles. Additionally, torsion angles were used to perform principal component analysis (PCA) to identify the conformational differences between the structures. Additionally, we present a few case studies to demonstrate this database. Graphical Abstract Conformational changes seen in the structures of the enoyl-ACP reductase protein encoded by the Mycobacterial gene inhA.

Indexed as

Models, MolecularProtein ConformationWeb BrowserAntitubercular AgentsBacterial ProteinsCatalytic DomainComputational BiologyDatabases, ProteinDrug DiscoveryLigandsMycobacterium tuberculosisProtein Interaction Domains and MotifsQuantitative Structure-Activity RelationshipAntitubercular AgentsBacterial ProteinsLigandsPrincipal component analysisProteinsRMSDStructuresTorsion angles

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.