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The complementarity plot (CP) is a graphical tool for structural validation of atomic models for both folded globular proteins and protein-protein interfaces.[1][2][3] It is based on a probabilistic representation of preferred amino acid side-chain orientation, analogous to the preferred backbone orientation of Ramachandran plots). It can potentially serve to elucidate protein folding as well as binding. The upgraded versions of the software suite is available and maintained in github for both folded globular proteins[4] as well as inter-protein complexes.[5] The software is included in the bioinformatic tool suites OmicTools[6] and Delphi tools.[7]
^Basu S, Bhattacharyya D, Banerjee R (2012) Self-Complementarity within Proteins: Bridging the Gap between Binding and Folding. Biophys J 102:2605–2614 . doi: 10.1016/j.bpj.2012.04.029 http://www.saha.ac.in/biop/www/sarama.html
^Basu S, Bhattacharyya D, Banerjee R (2014) Applications of complementarity plot in error detection and structure validation of proteins. Indian J Biochem Biophys 51:188–200
^Basu S, Bhattacharyya D, Wallner B (2014) SARAMAint: The Complementarity Plot for Protein–Protein Interface. J Bioinforma Intell Control 3:309–314 . doi: 10.1166/jbic.2014.1103
^basu, sankar (26 June 2017). "SARAMA-updated: Complementarity Plot : A structure validation tool for globular proteins". GitHub.
^basu, sankar (26 June 2017). "SARAMAint-updated: The Complementarity Plot for Protein-Protein Interface (CPint)". GitHub.
^"SARAMA: a bioinformatics tool for Structure validation | Protein structure analysis". omictools.
^Group, Professor Emil Alexov. "Computational Biophysics & Bioinformatics". compbio.clemson.edu.
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