Results 11 to 20 of about 317,356 (295)
Image-based effective feature generation for protein structural class and ligand binding prediction [PDF]
PeerJ Computer Science, 2020 Proteins are the building blocks of all cells in both human and all living creatures of the world. Most of the work in the living organism is performed by proteins.
Nafees Sadique +4 more
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Improving AlphaFold2-based protein tertiary structure prediction with MULTICOM in CASP15
Communications Chemistry, 2023 Since the 14th Critical Assessment of Techniques for Protein Structure Prediction (CASP14), AlphaFold2 has become the standard method for protein tertiary structure prediction. One remaining challenge is to further improve its prediction.
Jian Liu +5 more
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I 3D3P: an Intelligent 3D Protein Prediction Platform
Proceedings of the International Conference on Applied Innovations in IT, 2022 Proteins are macromolecules consisting of a chain of smaller molecules (i.e. amino acids) known as monomers. Three levels of protein structure are distinguished: primary, secondary and tertiary.
Mohamed Hachem Kermani, Zizette Boufaida
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EasyModel: a user-friendly web-based interface based on MODELLER
Scientific Reports, 2023 Three-dimensional protein structures are invaluable sources of information for the functional annotation of protein molecules. Describing the function of a protein sequence is one of the most common problems in biology.
Seyed Shahriar Arab, Alireza Dantism
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Ultrasonics Sonochemistry, 2023 The effects of air thawing (AT), water immersion thawing (WT), microwave thawing (MT) and ultrasound combined with slightly acidic electrolyzed water thawing (UST) on the myofibrillar protein (MP) properties (surface hydrophobicity, solubility, turbidity,
Dewei Kong +8 more
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Prediction of Protein Tertiary Structure via Regularized Template Classification Techniques
Molecules, 2020 We discuss the use of the regularized linear discriminant analysis (LDA) as a model reduction technique combined with particle swarm optimization (PSO) in protein tertiary structure prediction, followed by structure refinement based on singular value ...
Óscar Álvarez-Machancoses +2 more
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Evaluating Autoencoder-Based Featurization and Supervised Learning for Protein Decoy Selection
Molecules, 2020 Rapid growth in molecular structure data is renewing interest in featurizing structure. Featurizations that retain information on biological activity are particularly sought for protein molecules, where decades of research have shown that indeed ...
Fardina Fathmiul Alam +2 more
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BMC Bioinformatics, 2023 Background CRISPR-Cas-Docker is a web server for in silico docking experiments with CRISPR RNAs (crRNAs) and Cas proteins. This web server aims at providing experimentalists with the optimal crRNA-Cas pair predicted computationally when prokaryotic ...
Ho-min Park +7 more
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Utilizing Protein Structure to Identify Non-Random Somatic Mutations [PDF]
, 2013 Motivation: Human cancer is caused by the accumulation of somatic mutations in tumor suppressors and oncogenes within the genome. In the case of oncogenes, recent theory suggests that there are only a few key "driver" mutations responsible for ...
Cheng, Yuwei +4 more
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De novo protein structure prediction using ultra-fast molecular dynamics simulation. [PDF]
PLoS ONE, 2018 Modern genomics sequencing techniques have provided a massive amount of protein sequences, but experimental endeavor in determining protein structures is largely lagging far behind the vast and unexplored sequences.
Ngaam J Cheung, Wookyung Yu
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