title: Evolutionary potentials: structure specific knowledge-based potentials exploiting the evolutionary record of sequence homologs.
abstract: We introduce a new type of knowledge-based potentials for protein structure prediction, called 'evolutionary potentials', which are derived using a single experimental protein structure and all three-dimensional models of its homologous sequences. The new potentials have been benchmarked against other knowledge-based potentials, resulting in a significant increase in accuracy for model assessment. In contrast to standard knowledge-based potentials, we propose that evolutionary potentials capture key determinants of thermodynamic stability and specific sequence constraints required for fast folding.
authors.affiliation: Departamento de Genética Molecular y Microbiología, Facultad de Ciencias Biológicas, Pontificia Universidad Católica de Chile, Alameda 340, Santiago, Chile.
authors.forename: Alejandro
authors.initials: A
authors.lastname: Panjkovich
authors.forename: Francisco
authors.initials: F
authors.lastname: Melo
authors.forename: Marc A
authors.initials: MA
authors.lastname: Marti-Renom
mesh_terms: D019295:Computational Biology / Q000379:methods*; D008958:Models, Molecular; D011487:Protein Conformation; D017510:Protein Folding; D011506:Proteins / Q000737:chemistry*; D017386:Sequence Homology, Amino Acid; D013816:Thermodynamics
chemical_list: D011506:Proteins