Results 281 to 290 of about 1,386,749 (339)
Structural and Functional Characterization of New Lipid Transfer Proteins with Chitin-Binding Properties: Insights from Protein Structure Prediction, Molecular Docking, and Antifungal Activity. [PDF]
BiochemistryGonçalves GR +13 more
europepmc +1 more source
The Effect of Amino Acids on the Formation of Amorphous Calcium Carbonate Nanoparticles
Advanced Functional Materials, EarlyView.Biomineral formation often proceeds via the assembly of amorphous calcium carbonate (ACC) nanoparticles with narrow size distributions. Using in situ SAXS coupled to a stopped‐flow device, we follow synthetic ACC formation with a 10 ms time resolution and show that amino acids narrow the size distribution at low supersaturation, highlighting their key ...
Lucas Kuhrts +10 more
wiley +1 more source
New strategies of analyses and prediction of the three-dimensional structures of proteins
, 2001 Alexandre G. de Brevern
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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
openaire +3 more sources
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
openaire +3 more sources
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
openaire +4 more sources
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.
S R, Krystek, W J, Metzler, J, Novotny
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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.
D R, Westhead, J M, Thornton
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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.
D R, Westhead, J M, Thornton
openaire +2 more sources
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 ...
B, Al-Lazikani +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 ...
B, Al-Lazikani +3 more
openaire +2 more sources
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
semanticscholar +1 more source
Protein Tertiary Structure Prediction
Current Protocols in Protein Science, 2000AbstractThis unit addresses how to predict the tertiary structure of a protein from its amino acid sequence using computational methods. Three types of prediction methods‐‐homology modeling, fold recognition, and ab initio prediction‐‐are introduced.
D, Xu, Y, Xu
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