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Geometric Invariant based Framework for Analysis of Protein Conformational Space, Ashish V Tendulkar, Babatunde Ogunnaike, Milind Sohoni, Pramod Wangikar, Bioinformatics, 21(18), Sept. 2005, Pages 3622-3628 [PubMed abstract].

1. Supplementary Table S1: Eigenvectors representing the weights of the individual geometric invariants towards the first four principal components. [Table S1 (PDF file)]
2. Supplementary Table S2: Covariance matrix of the 29 geometric invariants obtained for the 1.7 million peptides. [Table S2(Excel File)]
3. Supplementary Table S3: The values of the first four principal components (derived from the geometric invariant values) for the 1.7 million peptides. The first column contains the PDB code, chain ID and the start position of the peptide, while the next four columns contain the PC1-PC4 values. [Tar compressed file]
4. Colored version of Fig 5: Conditional bivariate probability distribution plot of protein conformational space / Protein conformational space map.

1. [Presentation] Ashish's talk at ISCB student symposium at Madrid, Sept 28, 2005: Long version | Short version
2. Poster presented at the 4th European Conference on Computational Biology.