4.6 Article

Influence of Disease-Causing Mutations on Protein Structural Networks

期刊

出版社

FRONTIERS MEDIA SA
DOI: 10.3389/fmolb.2020.620554

关键词

disease-causing mutations; protein structure networks; allostery; network variability; protein function

资金

  1. FIST grant - Department of Science and Technology (DST)
  2. Department of Biotechnology (DBT), Government of India
  3. UGC, India - Centre for Advanced Studies
  4. Ministry of Human Resource Development, India
  5. Bioinformatics and Computational biology centre - Department of Biotechnology (DBT), Government of India

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This study utilized weighted PSNs to analyze the impact of disease-causing mutations on known 3D protein structures. By comparing wildtype and disease variant PSNs, they examined how mutations at one site can affect the structural network at distant sites, and discussed cases where there are limited structural differences in the backbone but significant dissimilarity in all-atom networks.
The interactions between residues in a protein tertiary structure can be studied effectively using the approach of protein structure network (PSN). A PSN is a node-edge representation of the structure with nodes representing residues and interactions between residues represented by edges. In this study, we have employed weighted PSNs to understand the influence of disease-causing mutations on proteins of known 3D structures. We have used manually curated information on disease mutations from UniProtKB/Swiss-Prot and their corresponding protein structures of wildtype and disease variant from the protein data bank. The PSNs of the wildtype and disease-causing mutant are compared to analyse variation of global and local dissimilarity in the overall network and at specific sites. We study how a mutation at a given site can affect the structural network at a distant site which may be involved in the function of the protein. We have discussed specific examples of the disease cases where the protein structure undergoes limited structural divergence in their backbone but have large dissimilarity in their all atom networks and vice versa, wherein large conformational alterations are observed while retaining overall network. We analyse the effect of variation of network parameters that characterize alteration of function or stability.

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