[HTML][HTML] A computational tool to predict the evolutionarily conserved protein–protein interaction hot-spot residues from the structure of the unbound protein

NJ Agrawal, B Helk, BL Trout - FEBS letters, 2014 - Elsevier
NJ Agrawal, B Helk, BL Trout
FEBS letters, 2014Elsevier
Identifying hot-spot residues–residues that are critical to protein–protein binding–can help to
elucidate a protein's function and assist in designing therapeutic molecules to target those
residues. We present a novel computational tool, termed spatial-interaction-map (SIM), to
predict the hot-spot residues of an evolutionarily conserved protein–protein interaction from
the structure of an unbound protein alone. SIM can predict the protein hot-spot residues with
an accuracy of 36–57%. Thus, the SIM tool can be used to predict the yet unknown hot-spot …
Abstract
Identifying hot-spot residues – residues that are critical to protein–protein binding – can help to elucidate a protein’s function and assist in designing therapeutic molecules to target those residues. We present a novel computational tool, termed spatial-interaction-map (SIM), to predict the hot-spot residues of an evolutionarily conserved protein–protein interaction from the structure of an unbound protein alone. SIM can predict the protein hot-spot residues with an accuracy of 36–57%. Thus, the SIM tool can be used to predict the yet unknown hot-spot residues for many proteins for which the structure of the protein–protein complexes are not available, thereby providing a clue to their functions and an opportunity to design therapeutic molecules to target these proteins.
Elsevier
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