Results 41 to 50 of about 410,461 (311)

Deep learning methods in protein structure prediction

Computational and Structural Biotechnology Journal, 2020
Protein Structure Prediction is a central topic in Structural Bioinformatics. Since the ’60s statistical methods, followed by increasingly complex Machine Learning and recently Deep Learning methods, have been employed to predict protein structural ...
Mirko Torrisi, Gianluca Pollastri, Quan Le   +2 more
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Modeling of tertiary and quaternary protein structures by homology [PDF]

, 2012
The structure of a protein is crucial to understand its function. Despite this importance, experimentally solved structures are only available for a small portion of the currently known protein sequences.
Kiefer, Florian
core   +1 more source

Structure Prediction of Membrane Proteins

Genomics, Proteomics & Bioinformatics, 2004
Abstract There is a large gap between the number of membrane protein (MP) sequences and that of their decoded 3D structures, especially high-resolution structures, due to difficulties in crystal preparation of MPs. However, detailed knowledge of the 3D structure is required for the fundamental understanding of the function of an MP and ...
Zhou, Chunlong, Zheng, Yao, Zhou, Yan
openaire   +2 more sources

A Novel Method for Accurate One-dimensional Protein Structure Prediction Based on Fragment Matching

, 2010
Motivation: The precise prediction of one-dimensional (1D) protein structure as represented by the protein secondary structure and 1D string of discrete state of dihedral angles (i.e.
Hovmöller, Sven,, Shu, Nanjiang,, Zhou, Tuping,   +2 more
core   +1 more source

Protein 3D structure prediction Using Homology Method [PDF]

Fayoum University Journal of Engineering
For decades, the prediction of protein three-dimensional structure from amino acid sequence has been a magnificent challenge problem in computational biophysics.
Rania Abul Seoud, Nahed El Gali, Margret Abdel Malek   +2 more
doaj   +1 more source

PS4: a next-generation dataset for protein single-sequence secondary structure prediction

BioTechniques, 2023
Protein secondary structure prediction is a subproblem of protein folding. A light-weight algorithm capable of accurately predicting secondary structure from only the protein residue sequence could provide useful input for tertiary structure prediction ...
Omar Peracha
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Prediction of protein-protein interaction types using association rule based classification

, 2009
This article has been made available through the Brunel Open Access Publishing Fund - Copyright @ 2009 Park et alBackground: Protein-protein interactions (PPI) can be classified according to their characteristics into, for example obligate or transient ...
José A Reyes, Kim, JW, Kim, S, Kim Ji, Sangsoo Kim, Gilbert, D, Park, SH, Reyes José A, Reyes, JA, Kim Sangsoo, Park Sung, Ji Kim, David R Gilbert, Gilbert David R, Sung Park   +14 more
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Recent Progress of Protein Tertiary Structure Prediction

Molecules
The prediction of three-dimensional (3D) protein structure from amino acid sequences has stood as a significant challenge in computational and structural bioinformatics for decades.
Qiqige Wuyun, Yihan Chen, Yifeng Shen, Yang Cao, Gang Hu, Wei Cui, Jianzhao Gao, Wei Zheng   +7 more
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Flexible protein folding by ant colony optimization [PDF]

, 2008
Protein structure prediction is one of the most challenging topics in bioinformatics. As the protein structure is found to be closely related to its functions, predicting the folding structure of a protein to judge its functions is meaningful to the ...
Hu, X., Li, Y., Zhang, J.
core   +1 more source

Accurate protein structure prediction with hydroxyl radical protein footprinting data

Nature Communications, 2021
Mass spectrometry-based covalent labeling techniques such as hydroxyl radical protein footprinting (HRPF) provide information about protein tertiary structures.
Sarah E. Biehn, Steffen Lindert
doaj   +1 more source