Results 271 to 280 of about 2,069,772 (318)
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Science, 1996
Elizabeth Pennisi's Research News article “Teams tackle protein prediction” ([26 July, p. 426][1]) describes an ongoing project, known as CASP (for Critical Assessment of Techniques for Protein Structure Prediction) ([1][2]), to provide researchers who model protein structures with the opportunity to jointly make bona fide predictions, announced before
S A, Benner, D L, Geroff, J D, Rozzell
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Elizabeth Pennisi's Research News article “Teams tackle protein prediction” ([26 July, p. 426][1]) describes an ongoing project, known as CASP (for Critical Assessment of Techniques for Protein Structure Prediction) ([1][2]), to provide researchers who model protein structures with the opportunity to jointly make bona fide predictions, announced before
S A, Benner, D L, Geroff, J D, Rozzell
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Journal of Biomolecular Structure and Dynamics, 2003
Recent sequence analysis of complete prokaryotic proteomes suggests that in early evolutionary stages proteins were rather small, of the size 25-35 amino acids. Corroborating evidence comes from protein crystal data, which indicate this size for closed loops--universal structural units of globular proteins.
Igor N, Berezovsky +3 more
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Recent sequence analysis of complete prokaryotic proteomes suggests that in early evolutionary stages proteins were rather small, of the size 25-35 amino acids. Corroborating evidence comes from protein crystal data, which indicate this size for closed loops--universal structural units of globular proteins.
Igor N, Berezovsky +3 more
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Quaternary Structure of Proteins
Annual Review of Biochemistry, 1970STOICHIOMETRY OF SUBUNITS. . . . .. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26 DISSOCIATION METHODS . . . . . . . . . • . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26 Denaturants . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26 Change of charge
I M, Klotz, N R, Langerman, D W, Darnall
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Protein structure similarities
Current Opinion in Structural Biology, 2001Comparison of protein structures can reveal distant evolutionary relationships that would not be detected by sequence information alone. This helps to infer functional properties. In recent years, many methods for pairwise protein structure alignment have been proposed and are now available on the World Wide Web.
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2010
The tertiary structure of proteins can reveal information that is hard to detect in a linear sequence. Knowing the tertiary structure is valuable when generating hypothesis and interpreting data. Unfortunately, the gap between the number of known protein sequences and their associated structures is widening.
Lars, Malmström, David R, Goodlett
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The tertiary structure of proteins can reveal information that is hard to detect in a linear sequence. Knowing the tertiary structure is valuable when generating hypothesis and interpreting data. Unfortunately, the gap between the number of known protein sequences and their associated structures is widening.
Lars, Malmström, David R, Goodlett
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Protein structure and properties
Journal of the American Oil Chemists' Society, 1971AbstractProteins are the most versatile of the bipolymers with respect to structure, properties and function. This versatility is a consequence of the chemical diversity of their amino acid monomers and of the infinite number of ways in which the amino acid composition, linear sequence and three‐dimensional folding may be varied.
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Terminology of Protein Structure
Nature, 1961I WISH to suggest a revision in the practice of discussing proteins in terms of primary, secondary, andtertiary structures. This terminology, introduced by Linderstrom-Lang in his Lane Memorial Lectures1, served well in the few years since it was invented, and has thoroughly permeated the literature.
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Biochimie, 1990
Current methods developed for predicting protein structure are reviewed. The most widely used algorithms of Chou and Fasman and Garnier et al for predicting secondary structure are compared to the most recent ones including sequence similarity methods, neural network, pattern recognition or joint prediction methods.
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Current methods developed for predicting protein structure are reviewed. The most widely used algorithms of Chou and Fasman and Garnier et al for predicting secondary structure are compared to the most recent ones including sequence similarity methods, neural network, pattern recognition or joint prediction methods.
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