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Spatial chemical conservation of hot spot interactions in protein-protein complexes

Overview of attention for article published in BMC Biology, October 2007
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Title
Spatial chemical conservation of hot spot interactions in protein-protein complexes
Published in
BMC Biology, October 2007
DOI 10.1186/1741-7007-5-43
Pubmed ID
Authors

Alexandra Shulman-Peleg, Maxim Shatsky, Ruth Nussinov, Haim J Wolfson

Abstract

Conservation of the spatial binding organizations at the level of physico-chemical interactions is important for the formation and stability of protein-protein complexes as well as protein and drug design. Due to the lack of computational tools for recognition of spatial patterns of interactions shared by a set of protein-protein complexes, the conservation of such interactions has not been addressed previously. We performed extensive spatial comparisons of physico-chemical interactions common to different types of protein-protein complexes. We observed that 80% of these interactions correspond to known hot spots. Moreover, we show that spatially conserved interactions allow prediction of hot spots with a success rate higher than obtained by methods based on sequence or backbone similarity. Detection of spatially conserved interaction patterns was performed by our novel MAPPIS algorithm. MAPPIS performs multiple alignments of the physico-chemical interactions and the binding properties in three dimensional space. It is independent of the overall similarity in the protein sequences, folds or amino acid identities. We present examples of interactions shared between complexes of colicins with immunity proteins, serine proteases with inhibitors and T-cell receptors with superantigens. We unravel previously overlooked similarities, such as the interactions shared by the structurally different RNase-inhibitor families. The key contribution of MAPPIS is in discovering the 3D patterns of physico-chemical interactions. The detected patterns describe the conserved binding organizations that involve energetically important hot spot residues and are crucial for the protein-protein associations.

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Mendeley readers

The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 3 6%
United Kingdom 3 6%
United States 2 4%
France 1 2%
Switzerland 1 2%
China 1 2%
Serbia 1 2%
Unknown 39 76%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 29%
Student > Ph. D. Student 9 18%
Professor 3 6%
Other 3 6%
Student > Master 3 6%
Other 8 16%
Unknown 10 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 20 39%
Biochemistry, Genetics and Molecular Biology 7 14%
Chemistry 5 10%
Computer Science 5 10%
Business, Management and Accounting 1 2%
Other 3 6%
Unknown 10 20%