title: Energy estimation in protein design.
abstract: The progress achieved by several groups in the field of computational protein design shows that successful design methods include two major features: efficient algorithms to deal with the combinatorial exploration of sequence space and optimal energy functions to rank sequences according to their fitness for the given fold.
authors.affiliation: European Molecular Biology Laboratory, Meyerhofstrasse 1, D-69117 Heidelberg, Germany.
authors.forename: Joaquim
authors.initials: J
authors.lastname: Mendes
authors.forename: Raphael
authors.initials: R
authors.lastname: Guerois
authors.forename: Luis
authors.initials: L
authors.lastname: Serrano
mesh_terms: D000465:Algorithms; D017076:Computer-Aided Design; D030562:Databases, Protein; D004734:Energy Metabolism; D019277:Entropy; D008956:Models, Chemical; D008958:Models, Molecular; D015233:Models, Statistical; D011487:Protein Conformation; D015202:Protein Engineering / Q000379:methods*; D011506:Proteins / Q000737:chemistry* / Q000235:genetics; D020539:Sequence Analysis, Protein; D055672:Static Electricity; D013329:Structure-Activity Relationship; D013816:Thermodynamics
chemical_list: D011506:Proteins