International Science Community Association Research Journal of Chemical Sciences 2231 - 606X 2 7 2012 July 18 Characterization of Protein Interfaces to Infer Protein-Protein Interaction 36 40 EN Kumar Harish 1 Material Science Laboratory, Department of Chemistry, Ch. Devi Lal University, Sirsa, Haryana, INDIA Sunita 2 Department of Chemistry, Singhania University, Rajasthan, INDIA Diwya 1 Acharya institute of Technology, Soldevanahalli, Hesarghatta Road, Bangalore-560090, Karnataka, INDIA Iyengar Pushpa 2 Department of Chemistry, Jyoti Nivas College, Koramangala Industrial Layout, Bangalore - 560095, Karnataka, INDIA Ramachandrappa R. 3 Bobade S.N. 1 Indian Biodiesel Corporation, Baramati, above Sh. Malojiraje Co-op. Bank, Tal- Baramati, Dist- Pune, MS, INDIA Shardabai Pawar Mahila College, Khyade V.B. 2 Shardanagar, Tel. Baramati, Dist – Pune, MS, INDIA Mihayo I.Z. 1 Dept. of Physical Sci, Faculty of Science, Sokoine University of Agriculture, Chuo Kikuu, Morogoro, TANZANIA Mkoma S.L. 2 Kannan C. 1 Department of Chemistry, Manonmaniam Sundaranar University, Tirunelveli-627012, Tamilnadu, INDIA Devi M.R. 2 Muthuraja K. 3 Esaivani K. 4 SudalaiVadivoo V. 5 Mishra Subhra 1 Department of Chemistry, Alipurduar College, North Bengal University, Pin-736122, West Bengal, INDIA > Research Paper 2012 4 7 2012 July 18 Understanding of interaction of two key macromolecular species is one of the major problems in structural and molecular biology. An understanding of protein – protein interactions depend upon knowledge of both the three dimensional structural details of the interactions and the chemical dynamics of the systems. Here we present an analysis of several dimeric, trimeric and tetrameric obligatory complexes available in the PDB with homologous sequences filtered out at 70% sequence identity. In this study, oligomeric protein structures are viewed from a network perspective to obtain new insights into protein association. The aim of this paper is to describe the computational approach to design the strategies to recognize the protein–protein interfaces in an automated, generalizable fashion. The successes suggest that these computational methods can be used to modulate, reengineer and design protein–protein interaction networks in living cells. Copyright@ International Science Community Association