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Predicting Residue Contacts Using Pragmatic Correlated Mutations Method: Reducing The False Positives, Petras J. Kundrotas, Emil Alexov
Predicting Residue Contacts Using Pragmatic Correlated Mutations Method: Reducing The False Positives, Petras J. Kundrotas, Emil Alexov
Publications
Background
Predicting residues' contacts using primary amino acid sequence alone is an important task that can guide 3D structure modeling and can verify the quality of the predicted 3D structures. The correlated mutations (CM) method serves as the most promising approach and it has been used to predict amino acids pairs that are distant in the primary sequence but form contacts in the native 3D structure of homologous proteins.
Results
Here we report a new implementation of the CM method with an added set of selection rules (filters). The parameters of the algorithm were optimized against fifteen high resolution crystal …
Protcom: Searchable Database Of Protein Complexes Enhanced With Domain-Domain Structures, Petras Kundrotas, Emil Alexov
Protcom: Searchable Database Of Protein Complexes Enhanced With Domain-Domain Structures, Petras Kundrotas, Emil Alexov
Publications
The database of protein complexes (PROTCOM) is a compilation of known 3D structures of protein–protein complexes enriched with artificially created domain–domain structures using the available entries in the Protein Data Bank. The domain–domain structures are generated by parsing single chain structures into loosely connected domains and are important features of the database. The database (http://www.ces.clemson.edu/compbio/protcom) could be used for benchmarking purposes of the docking and other algorithms for predicting 3D structures of protein–protein complexes. The database can be utilized as a template database in the homology or threading methods for modeling the 3D structures of unknown protein–protein complexes. …
Electrostatic Properties Of Protein-Protein Complexes, Petras J. Kundrotas, Emil Alexov
Electrostatic Properties Of Protein-Protein Complexes, Petras J. Kundrotas, Emil Alexov
Publications
Statistical electrostatic analysis of 37 protein-protein complexes extracted from the previously developed database of protein complexes (ProtCom, http://www.ces.clemson.edu/compbio/protcom) is presented. It is shown that small interfaces have a higher content of charged and polar groups compared to large interfaces. In a vast majority of the cases the average pKa shifts for acidic residues induced by the complex formation are negative, indicating that complex formation stabilizes their ionizable states, whereas the histidines are predicted to destabilize the complex. The individual pKa shifts show the same tendency since 80% of the interfacial acidic groups were found to lower their …