title: Active site detection by spatial conformity and electrostatic analysis--unravelling a proteolytic function in shrimp alkaline phosphatase.
abstract: Computational methods are increasingly gaining importance as an aid in identifying active sites. Mostly these methods tend to have structural information that supplement sequence conservation based analyses. Development of tools that compute electrostatic potentials has further improved our ability to better characterize the active site residues in proteins. We have described a computational methodology for detecting active sites based on structural and electrostatic conformity - CataLytic Active Site Prediction (CLASP). In our pipelined model, physical 3D signature of any particular enzymatic function as defined by its active sites is used to obtain spatially congruent matches. While previous work has revealed that catalytic residues have large pKa deviations from standard values, we show that for a given enzymatic activity, electrostatic potential difference (PD) between analogous residue pairs in an active site taken from different proteins of the same family are similar. False positives in spatially congruent matches are further pruned by PD analysis where cognate pairs with large deviations are rejected. We first present the results of active site prediction by CLASP for two enzymatic activities - β-lactamases and serine proteases, two of the most extensively investigated enzymes. The results of CLASP analysis on motifs extracted from Catalytic Site Atlas (CSA) are also presented in order to demonstrate its ability to accurately classify any protein, putative or otherwise, with known structure. The source code and database is made available at www.sanchak.com/clasp/. Subsequently, we probed alkaline phosphatases (AP), one of the well known promiscuous enzymes, for additional activities. Such a search has led us to predict a hitherto unknown function of shrimp alkaline phosphatase (SAP), where the protein acts as a protease. Finally, we present experimental evidence of the prediction by CLASP by showing that SAP indeed has protease activity in vitro.
authors.affiliation: Department of Biological Sciences, Tata Institute of Fundamental Research, Mumbai, India.
authors.forename: Sandeep
authors.initials: S
authors.lastname: Chakraborty
authors.forename: Renu
authors.initials: R
authors.lastname: Minda
authors.forename: Lipika
authors.initials: L
authors.lastname: Salaye
authors.forename: Swapan K
authors.initials: SK
authors.lastname: Bhattacharjee
authors.forename: Basuthkar J
authors.initials: BJ
authors.lastname: Rao
mesh_terms: D000469:Alkaline Phosphatase / Q000737:chemistry*; D020816:Amino Acid Motifs; D000818:Animals; D055162:Biocatalysis; D020134:Catalytic Domain; D019295:Computational Biology / Q000379:methods*; D033364:Decapoda / Q000201:enzymology*; D008958:Models, Molecular; D059748:Proteolysis; D011522:Protons; D057057:Serine Proteases / Q000378:metabolism; D055672:Static Electricity
chemical_list: D011522:Protons; D000469:Alkaline Phosphatase; D057057:Serine Proteases