Results 31 to 40 of about 1,386,749 (339)
CASP11--An Evaluation of a Modular BCL::Fold-Based Protein Structure Prediction Pipeline. [PDF]
PLoS ONE, 2016 In silico prediction of a protein's tertiary structure remains an unsolved problem. The community-wide Critical Assessment of Protein Structure Prediction (CASP) experiment provides a double-blind study to evaluate improvements in protein structure ...
Axel W Fischer +7 more
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A method for multiple-sequence-alignment-free protein structure prediction using a protein language model [PDF]
Nature Machine Intelligence, 2022 Protein structure prediction pipelines based on artificial intelligence, such as AlphaFold2, have achieved near-experimental accuracy. These advanced pipelines mainly rely on multiple sequence alignments (MSAs) as inputs to learn the co-evolution ...
Xiaomin Fang +9 more
semanticscholar +1 more source
EquiFold: Protein Structure Prediction with a Novel Coarse-Grained Structure Representation
bioRxiv, 2023 Designing proteins to achieve specific functions often requires in silico modeling of their properties at high throughput scale and can significantly benefit from fast and accurate protein structure prediction.
Jae Hyeon Lee +9 more
semanticscholar +1 more source
TANKBind: Trigonometry-Aware Neural NetworKs for Drug-Protein Binding Structure Prediction
bioRxiv, 2022 Illuminating interactions between proteins and small drug molecules is a longstanding challenge in the field of drug discovery. Despite the importance of understanding these interactions, most previous works are limited by hand-designed scoring functions
Wei Lu +5 more
semanticscholar +1 more source
Frontiers in Bioengineering and Biotechnology, 2022 Prediction of the protein secondary structure is a key issue in protein science. Protein secondary structure prediction (PSSP) aims to construct a function that can map the amino acid sequence into the secondary structure so that the protein secondary ...
Xin Jin +9 more
doaj +1 more source
(PS)2-v2: template-based protein structure prediction server
BMC Bioinformatics, 2009 Background Template selection and target-template alignment are critical steps for template-based modeling (TBM) methods. To identify the template for the twilight zone of 15~25% sequence similarity between targets and templates is still difficulty for ...
Hwang Jenn-Kang +2 more
doaj +1 more source
The HHpred interactive server for protein homology detection and structure prediction
Nucleic Acids Res., 2005 HHpred is a fast server for remote protein homology detection and structure prediction and is the first to implement pairwise comparison of profile hidden Markov models (HMMs).
J. Söding, A. Biegert, A. Lupas
semanticscholar +1 more source
Advances in protein tertiary structure prediction
Biomedical and Biotechnology Research Journal, 2018 Proteins are composed of linear chains of amino acids that form a unique three-dimensional structure in their native environment. Such native structure favors the proteins to perform their biochemical activity.
Tayebeh Farhadi
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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 +2 more
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Comparative Protein Structure Modeling Using MODELLER
Current Protocols in Bioinformatics, 2016 Comparative protein structure modeling predicts the three‐dimensional structure of a given protein sequence (target) based primarily on its alignment to one or more proteins of known structure (templates).
Ben M. Webb, A. Sali
semanticscholar +1 more source