MODPROPEP is a structure based program for analysis and prediction of substrates for protein kinases and MHC proteins
Structure based sequence analysis of polyketide synthases. (Contributed to Structural Modules)
Genome guided discovery of novel natural products has been a promising approach for identification of new bioactive compounds. SBSPKS web-server has been a valuable resource for analysis of polyketide synthase (PKS) and non-ribosomal peptide …
The solvent accessibility of the Ser/Thr/Tyr containing peptide stretches in the substrate proteins of various kinases are likely to play a major role in substrate recognition by various kinases. Even though some of the computational tools make use …
**Summary**: High-quality enzyme function annotation is essential for understanding the biochemistry, metabolism and disease processes of organisms. Previously, we developed a multi-component high-precision enzyme function predictor, EFICAz2 (enzyme …
**Summary**: High-quality enzyme function annotation is essential for understanding the biochemistry, metabolism and disease processes of organisms. Previously, we developed a multi-component high-precision enzyme function predictor, EFICAz2 (enzyme …
Polyketide synthases (PKSs) catalyze biosynthesis of a diverse family of pharmaceutically important secondary metabolites. Bioinformatics analysis of sequence and structural features of PKS proteins plays a crucial role in discovery of new natural …
**Motivation**: In silico methods are being widely used for identifying substrates for various kinases and deciphering cell signaling networks. However, most of the available phosphorylation site prediction methods use motifs or profiles derived from …
MODPROPEP is a web server for knowledge-based modeling of protein–peptide complexes, specifically peptides in complex with major histocompatibility complex (MHC) proteins and kinases. The available crystal structures of protein–peptide complexes in …