AMINONET-A TOOL TO CONSTRUCT AND VISUALIZE AMINO ACID NETWORKS, AND TO CALCULATE TOPOLOGICAL PARAMETERS

AMINONET is a Java-based software tool to construct different protein contact networks (unweighted and weighted; long range, short range and any range; hydrophobic, hydrophilic, charged or all-amino-acid networks). The networks thus constructed can be visualized. The software will also help in the calculation of the values of the different topological parameters of the constructed networks. The user can either provide a PDB ID or upload a structure file in PDB format as input. If necessary, the user can also do the same for a large number of proteins, uploading a batch file as input (details described in the document available online).

[1]  Victoria A. Higman,et al.  Uncovering network systems within protein structures. , 2003, Journal of molecular biology.

[2]  E. Shakhnovich,et al.  Topological determinants of protein folding , 2002, Proceedings of the National Academy of Sciences of the United States of America.

[3]  K. Henrick,et al.  Inference of macromolecular assemblies from crystalline state. , 2007, Journal of molecular biology.

[4]  Csaba Böde,et al.  Network analysis of protein dynamics , 2007, FEBS letters.

[5]  G. G. Stokes "J." , 1890, The New Yale Book of Quotations.

[6]  M. Saraste,et al.  FEBS Lett , 2000 .

[7]  S. Kundu,et al.  Hydrophobic, hydrophilic, and charged amino acid networks within protein. , 2006, Biophysical journal.

[8]  Sudip Kundu,et al.  Weighted and unweighted network of amino acids within protein , 2005, q-bio/0509025.

[9]  A. Barabasi,et al.  Network biology: understanding the cell's functional organization , 2004, Nature Reviews Genetics.

[10]  Ganesh Bagler,et al.  Network properties of protein structures , 2004, q-bio/0408009.

[11]  Minoru Kanehisa,et al.  New amino acid indices based on residue network topology. , 2007, Genome informatics. International Conference on Genome Informatics.

[12]  Gil Amitai,et al.  Network analysis of protein structures identifies functional residues. , 2004, Journal of molecular biology.

[13]  Somdatta Sinha,et al.  Analysis of protein folds using protein contact networks , 2008 .

[14]  T. N. Bhat,et al.  The Protein Data Bank , 2000, Nucleic Acids Res..

[15]  M Karplus,et al.  Small-world view of the amino acids that play a key role in protein folding. , 2002, Physical review. E, Statistical, nonlinear, and soft matter physics.

[16]  Albert-László Barabási,et al.  Evolution of Networks: From Biological Nets to the Internet and WWW , 2004 .

[17]  Sudip Kundu,et al.  Amino acid network within protein , 2005 .

[18]  S. Vishveshwara,et al.  Identification of side-chain clusters in protein structures by a graph spectral method. , 1999, Journal of molecular biology.