Literature DB >> 25291238

Identifying functionally important cis-peptide containing segments in proteins and their utility in molecular function annotation.

Sreetama Das1, Suryanarayanarao Ramakumar, Debnath Pal.   

Abstract

Cis-peptide embedded segments are rare in proteins but often highlight their important role in molecular function when they do occur. The high evolutionary conservation of these segments illustrates this observation almost universally, although no attempt has been made to systematically use this information for the purpose of function annotation. In the present study, we demonstrate how geometric clustering and level-specific Gene Ontology molecular-function terms (also known as annotations) can be used in a statistically significant manner to identify cis-embedded segments in a protein linked to its molecular function. The present study identifies novel cis-peptide fragments, which are subsequently used for fragment-based function annotation. Annotation recall benchmarks interpreted using the receiver-operator characteristic plot returned an area-under-curve > 0.9, corroborating the utility of the annotation method. In addition, we identified cis-peptide fragments occurring in conjunction with functionally important trans-peptide fragments, providing additional insights into molecular function. We further illustrate the applicability of our method in function annotation where homology-based annotation transfer is not possible. The findings of the present study add to the repertoire of function annotation approaches and also facilitate engineering, design and allied studies around the cis-peptide neighborhood of proteins.
© 2014 FEBS.

Keywords:  Gene Ontology; cis-peptide fragments; cis-prolyl bonds; function annotation; sequence-structure patterns

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Year:  2014        PMID: 25291238     DOI: 10.1111/febs.13100

Source DB:  PubMed          Journal:  FEBS J        ISSN: 1742-464X            Impact factor:   5.542


  1 in total

1.  Development of a structure-based computational simulation to optimize the blocking efficacy of pro-antibodies.

Authors:  Bo-Cheng Huang; Yun-Chi Lu; Jun-Min Liao; Hui-Ju Liu; Shih-Ting Hong; Yuan-Chin Hsieh; Chih-Hung Chuang; Huei-Jen Chen; Tzu-Yi Liao; Kai-Wen Ho; Yeng-Tseng Wang; Tian-Lu Cheng
Journal:  Chem Sci       Date:  2021-06-14       Impact factor: 9.825

  1 in total

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