Results 51 to 60 of about 1,170,066 (317)
Monte Carlo study of cooperativity in homopolypeptides [PDF]
©1992 American Institute of PhysicsThe electronic version of this article is the complete one and can be found online at: http://link.aip.org/link/?JCPSA6/97/9412/1DOI:10.1063/1.463317A discretized model of globular proteins is employed in a Monte Carlo ...
Kolinski, Andrzej, Skolnick, Jeffrey
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Cryo-EM map interpretation and protein model-building using iterative map segmentation. [PDF]
A procedure for building protein chains into maps produced by single-particle electron cryo-microscopy (cryo-EM) is described. The procedure is similar to the way an experienced structural biologist might analyze a map, focusing first on secondary ...
Afonine PV+9 more
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Recoverable One-dimensional Encoding of Three-dimensional Protein Structures
Protein one-dimensional (1D) structures such as secondary structure and contact number provide intuitive pictures to understand how the native three-dimensional (3D) structure of a protein is encoded in the amino acid sequence.
A. R. Kinjo+10 more
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Secondary structure determines protein topology [PDF]
AbstractUsing a test set of 13 small, compact proteins, we demonstrate that a remarkably simple protocol can capture native topology from secondary structure information alone, in the absence of long‐range interactions. It has been a long‐standing open question whether such information is sufficient to determine a protein's fold.
George D. Rose+2 more
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An evolutionary method for learning HMM structure: prediction of protein secondary structure
Background The prediction of the secondary structure of proteins is one of the most studied problems in bioinformatics. Despite their success in many problems of biological sequence analysis, Hidden Markov Models (HMMs) have not been used much for this ...
Won Kyoung-Jae+3 more
doaj +1 more source
Why Do Proteins Look Like Proteins?
Protein structures in nature often exhibit a high degree of regularity (secondary structures, tertiary symmetries, etc.) absent in random compact conformations.
Helling, Robert+3 more
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A physical basis for protein secondary structure [PDF]
A physical theory of protein secondary structure is proposed and tested by performing exceedingly simple Monte Carlo simulations. In essence, secondary structure propensities are predominantly a consequence of two competing local effects, one favoring hydrogen bond formation in helices and turns, the other opposing the attendant reduction in sidechain ...
George D. Rose, Rajgopal Srinivasan
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JPred4:a protein secondary structure prediction server [PDF]
JPred
Alexey Drozdetskiy+6 more
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Prediction of protein secondary structure content [PDF]
All existing algorithms for predicting the content of protein secondary structure elements have been based on the conventional amino-acid-composition, where no sequence coupling effects are taken into account. In this article, an algorithm was developed for predicting the content of protein secondary structure elements that was based on a new amino ...
Wei-min Liu, Kou-Chen Chou
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Combining Deep Neural Networks for Protein Secondary Structure Prediction
By combining convolutional neural networks (CNN) and long short term memory networks (LSTM) into the learning structure, this paper presents a supervised learning method called combining deep neural networks (CDNN) for protein secondary structure ...
Shusen Zhou+4 more
doaj +1 more source