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Structural complementarity of distance constraints obtained from chemical cross-linking and amino acid coevolution.
Dos Santos, Ricardo N; Bottino, Guilherme F; Gozzo, Fábio C; Morcos, Faruck; Martínez, Leandro.
Affiliation
  • Dos Santos RN; Institute of Chemistry, University of Campinas, Campinas, São Paulo, Brazil.
  • Bottino GF; Center for Computing in Engineering & Sciences, University of Campinas, Campinas, São Paulo, Brazil.
  • Gozzo FC; Institute of Chemistry, University of Campinas, Campinas, São Paulo, Brazil.
  • Morcos F; Center for Computing in Engineering & Sciences, University of Campinas, Campinas, São Paulo, Brazil.
  • Martínez L; Institute of Chemistry, University of Campinas, Campinas, São Paulo, Brazil.
Proteins ; 88(4): 625-632, 2020 04.
Article in En | MEDLINE | ID: mdl-31693206
ABSTRACT
The analysis of amino acid coevolution has emerged as a practical method for protein structural modeling by providing structural contact information from alignments of amino acid sequences. In parallel, chemical cross-linking/mass spectrometry (XLMS) has gained attention as a universally applicable method for obtaining low-resolution distance constraints to model the quaternary arrangements of proteins, and more recently even protein tertiary structures. Here, we show that the structural information obtained by XLMS and coevolutionary analysis are effectively complementary the distance constraints obtained by each method are almost exclusively associated with non-coincident pairs of residues, and modeling results obtained by the combination of both sets are improved relative to considering the same total number of constraints of a single type. The structural rationale behind the complementarity of the distance constraints is discussed and illustrated for a representative set of proteins with different sizes and folds.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Proteins / Biological Coevolution / Amino Acids Limits: Humans Language: En Journal: Proteins Journal subject: BIOQUIMICA Year: 2020 Document type: Article Affiliation country:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Proteins / Biological Coevolution / Amino Acids Limits: Humans Language: En Journal: Proteins Journal subject: BIOQUIMICA Year: 2020 Document type: Article Affiliation country: