Knowledge-based potentials for protein folding: what can we learn from known protein structures?
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[1] M J Rooman,et al. Are database-derived potentials valid for scoring both forward and inverted protein folding? , 1995, Protein engineering.
[2] C. DeLisi,et al. Hydrophobicity scales and computational techniques for detecting amphipathic structures in proteins. , 1987, Journal of molecular biology.
[3] S. Wodak,et al. Protein structure prediction by threading methods: Evaluation of current techniques , 1995, Proteins.
[4] C. Anfinsen. Principles that govern the folding of protein chains. , 1973, Science.
[5] H. Scheraga,et al. Medium- and long-range interaction parameters between amino acids for predicting three-dimensional structures of proteins. , 1976, Macromolecules.
[6] A Tropsha,et al. Statistical geometry analysis of proteins: implications for inverted structure prediction. , 1996, Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing.
[7] R. Srinivasan,et al. LINUS: A hierarchic procedure to predict the fold of a protein , 1995, Proteins.
[8] G. Crippen,et al. Contact potential that recognizes the correct folding of globular proteins. , 1992, Journal of molecular biology.
[9] A. Godzik,et al. Are proteins ideal mixtures of amino acids? Analysis of energy parameter sets , 1995, Protein science : a publication of the Protein Society.
[10] R. Jernigan,et al. Estimation of effective interresidue contact energies from protein crystal structures: quasi-chemical approximation , 1985 .
[11] A. Godzik,et al. Topology fingerprint approach to the inverse protein folding problem. , 1992, Journal of molecular biology.
[12] J. Skolnick,et al. Monte carlo simulations of protein folding. II. Application to protein A, ROP, and crambin , 1994, Proteins.