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Evolutionary constraints on structural similarity in orthologs and paralogs
Authors:Mark E Peterson  Feng Chen  Jeffery G Saven  David S Roos  Patricia C Babbitt  Andrej Sali
Institution:1. Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, California 94158;2. Department of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, California 94158;3. California Institute for Quantitative Biosciences, University of California, San Francisco, San Francisco, California 94158;4. Department of Chemistry, University of Pennsylvania, Philadelphia, PA 19104;5. Department of Biology and Penn Genomics Institute, University of Pennsylvania, Philadelphia, PA 19104;6. Mark E. Peterson and Feng Chen contributed equally to this work.
Abstract:Although a quantitative relationship between sequence similarity and structural similarity has long been established, little is known about the impact of orthology on the relationship between protein sequence and structure. Among homologs, orthologs (derived by speciation) more frequently have similar functions than paralogs (derived by duplication). Here, we hypothesize that an orthologous pair will tend to exhibit greater structural similarity than a paralogous pair at the same level of sequence similarity. To test this hypothesis, we used 284,459 pairwise structure‐based alignments of 12,634 unique domains from SCOP as well as orthology and paralogy assignments from OrthoMCL DB. We divided the comparisons by sequence identity and determined whether the sequence‐structure relationship differed between the orthologs and paralogs. We found that at levels of sequence identity between 30 and 70%, orthologous domain pairs indeed tend to be significantly more structurally similar than paralogous pairs at the same level of sequence identity. An even larger difference is found when comparing ligand binding residues instead of whole domains. These differences between orthologs and paralogs are expected to be useful for selecting template structures in comparative modeling and target proteins in structural genomics.
Keywords:orthology  paralogy  sequence‐structure relationship  orthologs prediction  homology modeling
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