title: DISULFIND: a disulfide bonding state and cysteine connectivity prediction server.
abstract: DISULFIND is a server for predicting the disulfide bonding state of cysteines and their disulfide connectivity starting from sequence alone. Optionally, disulfide connectivity can be predicted from sequence and a bonding state assignment given as input. The output is a simple visualization of the assigned bonding state (with confidence degrees) and the most likely connectivity patterns. The server is available at http://disulfind.dsi.unifi.it/.
authors.affiliation: Machine Learning and Neural Networks Group, Università degli Studi di Firenze, Dipartimento di Sistemi e Informatica, Via di Santa Marta 3, 50139 Firenze, Italy.
authors.forename: Alessio
authors.initials: A
authors.lastname: Ceroni
authors.forename: Andrea
authors.initials: A
authors.lastname: Passerini
authors.forename: Alessandro
authors.initials: A
authors.lastname: Vullo
authors.forename: Paolo
authors.initials: P
authors.lastname: Frasconi
mesh_terms: D003545:Cysteine / Q000737:chemistry*; D004220:Disulfides / Q000737:chemistry; D020407:Internet; D011506:Proteins / Q000737:chemistry*; D020539:Sequence Analysis, Protein / Q000379:methods*; D012984:Software; D014584:User-Computer Interface
chemical_list: D004220:Disulfides; D011506:Proteins; D003545:Cysteine