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This book covers elements of both the data-driven comparative modeling approach to structure prediction and also recent attempts to simulate folding using explicit or simplified models. Despite the unsolved mystery of how a protein folds, advances are being made in predicting the interactions of proteins with other molecules, such as small ligands, nucleic acids or other proteins. Also rapidly advancing are the methods for solving the inverse folding problem, the problem of finding a sequence to fit a structure. This book focuses on the various computational methods for prediction, their successes and their limitations, from the perspective of their most well known practitioners.

Biochemistry. --- Proteomics. --- Protein Science. --- Biochemistry, general. --- Molecular biology --- Proteins --- Biological chemistry --- Chemical composition of organisms --- Organisms --- Physiological chemistry --- Biology --- Chemistry --- Medical sciences --- Composition --- Amino acid sequence --- Protein Conformation --- Models, Molecular --- Probability --- 577.122 --- 577.122 Protein metabolism --- Protein metabolism --- Probabilities --- Molecular Models --- Model, Molecular --- Molecular Model --- Molecular Conformation --- Molecular Structure --- Conformation, Protein --- Conformations, Protein --- Protein Conformations --- Protein Folding --- Amino acid sequence analysis --- Analysis, Amino acid sequence --- Peptide sequence --- Peptide sequencing --- Protein sequence --- Protein sequencing --- Sequence, Amino acid --- Amino acids --- Sequence alignment (Bioinformatics) --- Structure&delete& --- Mathematical models --- Analysis --- Proteids --- Biomolecules --- Polypeptides --- Proteomics --- Structure