{"id":703,"date":"2019-07-30T13:47:51","date_gmt":"2019-07-30T17:47:51","guid":{"rendered":"https:\/\/www.bu.edu\/bmerc\/?post_type=profile&#038;p=703"},"modified":"2019-11-07T12:14:34","modified_gmt":"2019-11-07T17:14:34","slug":"sandor-vajda","status":"publish","type":"profile","link":"https:\/\/www.bu.edu\/bmerc\/profile\/sandor-vajda\/","title":{"rendered":"Sandor Vajda"},"content":{"rendered":"<p><span style=\"font-weight: 400;\">Sandor Vajda and the Vajda lab (also known as the Structural Bioinformatics Lab) combine mathematical and computational tools to explore molecular interactions, with an emphasis on protein-protein and protein-ligand interactions. By studying and understanding these interactions, the Vajda Lab makes great strides in developing computational software for protein engineering and drug design. Prof. Vajda also co-organizes the biennial <\/span><a href=\"https:\/\/bioinformatics.drupal.ku.edu\/mpi-conference\"><span style=\"font-weight: 400;\">Conference on Modeling of Protein Interactions<\/span><\/a><span style=\"font-weight: 400;\"> with Prof. Ilya Vakser at the University of Kansas Center for Computational Biology. The conference attracts a wide range of attendees from both academia and industry. <\/span><\/p>\n<h3>Research Areas<\/h3>\n<ul>\n<li><b>Protein docking server ClusPro<\/b><span style=\"font-weight: 400;\"> is the Vajda Lab\u2019s automated protein docking server. ClusPro has a wide range of features and applications including protein-protein docking, peptide docking, a dimer classification mode, antibody docking,\u00a0 and more. As of September 2019, ClusPro runs more than 14000 docking jobs per month with ~13000 registered users. ClusPro has also won multiple rounds of competitions and is widely recognized as one of the best protein docking servers by the scientific community. <\/span><\/li>\n<li><b>Ligand binding hotspots prediction server FTMap<\/b><span style=\"font-weight: 400;\"> is the Vajda Lab\u2019s server for computational solvent mapping which contributes to the analysis of protein binding hotspots. The software utilizes 16 different molecular probes to identify and characterize potential binding sites on the surface of a protein. Such results provide crucial insights for the early stage drug design.<\/span><\/li>\n<\/ul>\n<h3>Quick Links<\/h3>\n<p><a href=\"https:\/\/www.vajdalab.org\/\">Vajda Lab<\/a><br \/>\n<a href=\"https:\/\/scholar.google.com\/citations?user=_gYtig8AAAAJ&amp;hl=en\">Publications<\/a><\/p>\n","protected":false},"author":13775,"template":"","_links":{"self":[{"href":"https:\/\/www.bu.edu\/bmerc\/wp-json\/wp\/v2\/profile\/703"}],"collection":[{"href":"https:\/\/www.bu.edu\/bmerc\/wp-json\/wp\/v2\/profile"}],"about":[{"href":"https:\/\/www.bu.edu\/bmerc\/wp-json\/wp\/v2\/types\/profile"}],"author":[{"embeddable":true,"href":"https:\/\/www.bu.edu\/bmerc\/wp-json\/wp\/v2\/users\/13775"}],"version-history":[{"count":14,"href":"https:\/\/www.bu.edu\/bmerc\/wp-json\/wp\/v2\/profile\/703\/revisions"}],"predecessor-version":[{"id":1209,"href":"https:\/\/www.bu.edu\/bmerc\/wp-json\/wp\/v2\/profile\/703\/revisions\/1209"}],"wp:attachment":[{"href":"https:\/\/www.bu.edu\/bmerc\/wp-json\/wp\/v2\/media?parent=703"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}