title: Combinatorial protein design strategies using computational methods.
abstract: Computational methods continue to facilitate efforts in protein design. Most of this work has focused on searching sequence space to identify one or a few sequences compatible with a given structure and functionality. Probabilistic computational methods provide information regarding the range of amino acid variability permitted by desired functional and structural constraints. Such methods may be used to guide the construction of both individual sequences and combinatorial libraries of proteins.
authors.affiliation: Computational Biology Group, Neutron Science Research Center, Quantum Beam Science Directorate, Japan Atomic Energy Agency, Kyoto, Japan.
authors.forename: Hidetoshi
authors.initials: H
authors.lastname: Kono
authors.forename: Wei
authors.initials: W
authors.lastname: Wang
authors.forename: Jeffery G
authors.initials: JG
authors.lastname: Saven
mesh_terms: D000595:Amino Acid Sequence; D020650:Combinatorial Chemistry Techniques; D019295:Computational Biology / Q000379:methods*; D030562:Databases, Protein; D015723:Gene Library; D008969:Molecular Sequence Data; D011336:Probability; D015202:Protein Engineering / Q000379:methods*; D011506:Proteins / Q000737:chemistry*
chemical_list: D011506:Proteins