title: Potential targets for anti-SARS drugs in the structural proteins from SARS related coronavirus.
abstract: This is a further study on the severe acute respiratory syndrome (SARS) using the probabilistic models. The purpose was to define the potential targets for anti-SARS drugs in the structural proteins from human SARS related coronavirus (SARS-CoV) while knowing little about the functional sites and possible mutations in these proteins. From a probabilistic viewpoint, we can theoretically select the amino acid pairs as potential candidates for anti-SARS drugs. These candidates have a greater chance of colliding with anti-SARS drugs, are more likely to link with the protein functions and are less vulnerable to mutations.
authors.affiliation: DreamSciTech Consulting Co Ltd, 301 Building 12, Nanyou A-Zone, Jiannan Road, Shenzhen, Guangdong Province, CN-518054, China. hongguanglishibahao@yahoo.com
authors.forename: Guang
authors.initials: G
authors.lastname: Wu
authors.forename: Shaomin
authors.initials: S
authors.lastname: Yan
mesh_terms: D000998:Antiviral Agents / Q000737:chemistry* / Q000627:therapeutic use; D019295:Computational Biology; D015195:Drug Design; D006801:Humans; D011336:Probability; D045473:Severe acute respiratory syndrome-related coronavirus / Q000187:drug effects / Q000235:genetics / Q000378:metabolism; D020539:Sequence Analysis, Protein; D045169:Severe Acute Respiratory Syndrome / Q000188:drug therapy*; D015678:Viral Structural Proteins / Q000037:antagonists & inhibitors / Q000737:chemistry* / Q000235:genetics
chemical_list: D000998:Antiviral Agents; D015678:Viral Structural Proteins