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EigenFold: Generative Protein Structure Prediction with Diffusion Models
arXiv.org, 2023Protein structure prediction has reached revolutionary levels of accuracy on single structures, yet distributional modeling paradigms are needed to capture the conformational ensembles and flexibility that underlie biological function. Towards this goal,
Bowen Jing +5 more
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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.
David S. Wishart, Alastair K. Muir
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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.
David S. Wishart, Alastair K. Muir
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Current Opinion in Biotechnology, 1998
Genome sequencing projects continue to provide a flood of new protein sequences, and prediction methods remain an important means of adding structural information. Recently, there have been advances in secondary structure prediction, which feed, in turn, into improved fold recognition algorithms.
David R. Westhead +2 more
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Genome sequencing projects continue to provide a flood of new protein sequences, and prediction methods remain an important means of adding structural information. Recently, there have been advances in secondary structure prediction, which feed, in turn, into improved fold recognition algorithms.
David R. Westhead +2 more
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Current Opinion in Chemical Biology, 2001
The prediction of protein structure, based primarily on sequence and structure homology, has become an increasingly important activity. Homology models have become more accurate and their range of applicability has increased. Progress has come, in part, from the flood of sequence and structure information that has appeared over the past few years, and ...
Zhexin Xiang +3 more
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The prediction of protein structure, based primarily on sequence and structure homology, has become an increasingly important activity. Homology models have become more accurate and their range of applicability has increased. Progress has come, in part, from the flood of sequence and structure information that has appeared over the past few years, and ...
Zhexin Xiang +3 more
openaire +3 more sources
Protein secondary structure prediction based on position-specific scoring matrices.
Journal of Molecular Biology, 1999A two-stage neural network has been used to predict protein secondary structure based on the position specific scoring matrices generated by PSI-BLAST. Despite the simplicity and convenience of the approach used, the results are found to be superior to ...
David C. Jones
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Protein Structure Prediction and Structural Genomics
Science, 2001Genome sequencing projects are producing linear amino acid sequences, but full understanding of the biological role of these proteins will require knowledge of their structure and function. Although experimental structure determination methods are providing high-resolution structure information about a subset of the proteins, computational structure ...
David Baker, Andrej Sali
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Prediction of Protein Structure
2004Publisher Summary This chapter describes the extraction of structural information from protein sequence. The deduced sequences of proteins provide invaluable insights into the functions of those proteins and the evolution of the organisms producing those proteins.
Robert H. Kretsinger +2 more
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MO4: A Many-Objective Evolutionary Algorithm for Protein Structure Prediction
IEEE Transactions on Evolutionary Computation, 2021Protein structure prediction (PSP) problems are a major biocomputing challenge, owing to its scientific intrinsic that assists researchers to understand the relationship between amino acid sequences and protein structures, and to study the function of ...
Zhenyu Lei +4 more
semanticscholar +1 more source
Toolbox for Protein Structure Prediction
2016Protein tertiary structure prediction algorithms aim to predict, from amino acid sequence, the tertiary structure of a protein. In silico protein structure prediction methods have become extremely important, as in vitro-based structural elucidation is unable to keep pace with the current growth of sequence databases due to high-throughput next ...
Roche, Daniel Barry +1 more
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Protein secondary structure prediction
Current Opinion in Structural Biology, 1995The past year has seen a consolidation of protein secondary structure prediction methods. The advantages of prediction from an aligned family of proteins have been highlighted by several accurate predictions made 'blind', before any X-ray or NMR structure was known for the family.
Jiri Novotny +2 more
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