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  The IUP Journal of Biotechnology
Insilico 3D Structure Prediction of Argininosuccinate Lyase from Salmonella choleraesuis
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Modeller (a comparative modeling program) is used to predict the structure of argininosuccinate lyase protein from Salmonella choleraesuis. All the predicted structural models are verified by the results of Ramachandran plot, PROCHECK (checks the stereochemical quality of a protein structure), ERRAT and PROVE validation programs. This predicted and validated structure is useful in structure-based drug design, proteinDNA interactions, proteinprotein interactions and docking. Argininosuccinate lyase (EC 4.3.2.1) is a urea cycle enzyme that catalyzes the cleavage of argininosuccinate to fumarate and arginine which is an essential step in the process of detoxification of ammonia via the urea cycle. Salmonella causes infection to humans and animals. This infection continues to be a distressing health problem worldwide. Argininosuccinate lyase in Salmonella choleraesuis is responsible for the pathogenic activity in animals and humans. The 3D structure prediction of this protein helps to find the active sites in the protein, thereby we can move to the further steps of drug action and drug design.

 
 

Homology modeling is basically used for the prediction of protein structure and it constructs an atomic resolution model of a protein from the amino acid residues of the query sequence (Marti, 2000). Argininosuccinate lyase (ASAL) in Salmonella choleraesuis is responsible for the pathogenic activity in animals and humans. The cellular component of this protein is the cytoplasm. It involves in the biological process of amino acid biosynthesis and arginine biosysnthesis. The molecular function of this protein is arginino succinate lyase activity. Salmonella is a genus of the family Enterobacteriaceae. The pathogen, Salmonella causes various diseases such as salmonellosis, gastroenteritis and food poisoning. Salmonellosis is one of the most common and widely distributed food-borne diseases. It constitutes a major public health burden and represents a significant cost in many countries. Millions of human cases are reported worldwide every year and the disease results in thousands of deaths. In the recent years, problems related to Salmonella have increased significantly both in terms of incidence and severity of cases of human salmonellosis. Gastroenteritis causes diarrhoea or vomiting with non-inflammatory infection of the upper small bowel or inflammatory infection of the colon and in each part of the gastrointestinal tract. Food poisoning is common, usually mild, but sometimes deadly illness. Typical symptoms include nausea, vomiting, abdominal cramping, diarrhoea that come on sudden consumption of a contaminated food or drink.

MODELLER implements comparative protein structure modeling by satisfaction of spatial restraints that include (1) homology-derived restraints on the distances and dihedral angles in the target sequence, extracted from its alignment with the template structures; (2) stereochemical restraints such as bond length and bond angle preferences obtained from the molecular mechanics force-field; (3) statistical preferences for dihedral angles and non-bonded inter-atomic distances, obtained from a representative set of known protein structures; and (4) optional manually curated restraints, such as those from NMR spectroscopy, rules of secondary structure packing, etc. The spatial restraints, expressed as probability density functions, are combined into an objective function that is optimized by a combination of conjugate gradients and molecular dynamics with simulated annealing. This model building procedure is similar to the structure determination by NMR spectroscopy.

 
 
 

Biotechnology Journal, Salmonella Choleraesuis, Homology Modeling, Argininosuccinate Lyase, Abdominal Cramping, Model Building Procedure, NMR Spectroscopy, Visualization Tools, Loop Modeling, MODELLER Program, Molecular Functions.