Evidence map›Paper›PMID 25521245›Full record

ArticleBMC bioinformatics2014

Bhageerath-H: a homology/ab initio hybrid server for predicting tertiary structures of monomeric soluble proteins.

B Jayaram, Priyanka Dhingra, Avinash Mishra, Rahul Kaushik, Goutam Mukherjee, Ankita Singh, Shashank Shekhar

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Article in BMC bioinformatics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

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19citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

19 citing papers in PubMed.

  1. Article
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  4. Genome mining ofFrontiers in microbiology · 2024
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  8. Plant Source Derived Compound ExhibitedFrontiers in pharmacology · 2022
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  13. Molecular Interaction between Distal C-Terminal Domain of the CBJournal of chemical information and modeling · 2019
    Article
  14. Article
  15. Article
  16. PvaxDB: a comprehensive structural repository of Plasmodium vivax proteome.Database : the journal of biological databases and curation · 2018
    Article
  17. Article
  18. Article
  19. Article
4 · The record

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5 · Who and what money

Authors and funding

7 authors.

B Jayaram
Priyanka Dhingra
Avinash Mishra
Rahul Kaushik
Goutam Mukherjee
Ankita Singh
Shashank Shekhar

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe advent of human genome sequencing project has led to a spurt in the number of protein sequences in the databanks. Success of structure based drug discovery severely hinges on the availability of structures. Despite significant progresses in the area of experimental protein structure determination, the sequence-structure gap is continually widening. Data driven homology based computational methods have proved successful in predicting tertiary structures for sequences sharing medium to high sequence similarities. With dwindling similarities of query sequences, advanced homology/ ab initio hybrid approaches are being explored to solve structure prediction problem. Here we describe Bhageerath-H, a homology/ ab initio hybrid software/server for predicting protein tertiary structures with advancing drug design attempts as one of the goals.

resultsBhageerath-H web-server was validated on 75 CASP10 targets which showed TM-scores ≥ 0.5 in 91% of the cases and Cα RMSDs ≤ 5 Å from the native in 58% of the targets, which is well above the CASP10 water mark. Comparison with some leading servers demonstrated the uniqueness of the hybrid methodology in effectively sampling conformational space, scoring best decoys and refining low resolution models to high and medium resolution.

conclusionBhageerath-H methodology is web enabled for the scientific community as a freely accessible web server. The methodology is fielded in the on-going CASP11 experiment.

Indexed as

Models, TheoreticalQuantum TheoryComputational BiologyHumansProteinsProtein Structure, TertiarySoftwareProteins

Identifiers

PMID25521245
PMCPMC4290660

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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.