MAPPIS: multiple 3D alignment of protein-protein interfaces

  • Authors:
  • Alexandra Shulman-Peleg;Maxim Shatsky;Ruth Nussinov;Haim J. Wolfson

  • Affiliations:
  • School of Computer Science, Raymond and Beverly Sackler Faculty of Exact Sciences, Tel Aviv University, Tel Aviv, Israel;School of Computer Science, Raymond and Beverly Sackler Faculty of Exact Sciences, Tel Aviv University, Tel Aviv, Israel;Sackler Inst. of Molecular Medicine, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel;School of Computer Science, Raymond and Beverly Sackler Faculty of Exact Sciences, Tel Aviv University, Tel Aviv, Israel

  • Venue:
  • CompLife'05 Proceedings of the First international conference on Computational Life Sciences
  • Year:
  • 2005

Quantified Score

Hi-index 0.00

Visualization

Abstract

A protein-protein interface (PPI) is defined by a pair of regions of two interacting protein molecules that are linked by non-covalent bonds. Recognition of conserved 3D patterns of physico-chemical interactions may suggest their importance for the function as well as for the stability and formation of the protein-protein complex. It may assist in discovery of new drug leads that target these interactions. We present a novel method, MAPPIS, for multiple structural alignment of PPIs which allows recognition of a set of common physico-chemical properties and their interactions without the need to assume similarity of sequential patterns or backbone patterns. We show its application to several biological examples, such as alignment of interfaces of G proteins with their effectors and regulators, as well as previously created clusters of interfaces. Availability: The program and supplementary information, including colored figures, can be found at: http://bioinfo3d.cs.tau.ac.il/mappis/