Results 11 to 20 of about 763,163 (226)
TMbed: transmembrane proteins predicted through language model embeddings
BMC Bioinformatics, 2022 Background Despite the immense importance of transmembrane proteins (TMP) for molecular biology and medicine, experimental 3D structures for TMPs remain about 4–5 times underrepresented compared to non-TMPs.
Michael Bernhofer, Burkhard Rost
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Integrated structure-based protein interface prediction
BMC Bioinformatics, 2022 Background Identifying protein interfaces can inform how proteins interact with their binding partners, uncover the regulatory mechanisms that control biological functions and guide the development of novel therapeutic agents.
M. Walder +6 more
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DeepDist: real-value inter-residue distance prediction with deep residual convolutional network
BMC Bioinformatics, 2021 Background Driven by deep learning, inter-residue contact/distance prediction has been significantly improved and substantially enhanced ab initio protein structure prediction.
Tianqi Wu +3 more
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Computational Approach for Protein Structure Prediction [PDF]
Healthcare Informatics Research, 2013 ObjectivesTo predict the structure of protein, which dictates the function it performs, a newly designed algorithm is developed which blends the concept of self-organization and the genetic algorithm.MethodsAmong many other approaches, genetic algorithm ...
Amouda Venkatesan +4 more
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Non-H3 CDR template selection in antibody modeling through machine learning [PDF]
PeerJ, 2019 Antibodies are proteins generated by the adaptive immune system to recognize and counteract a plethora of pathogens through specific binding. This adaptive binding is mediated by structural diversity in the six complementary determining region (CDR ...
Xiyao Long +2 more
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FALCON2: a web server for high-quality prediction of protein tertiary structures
BMC Bioinformatics, 2021 Background Accurate prediction of protein tertiary structures is highly desired as the knowledge of protein structures provides invaluable insights into protein functions.
Lupeng Kong +4 more
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Predicting protein structure classes from function predictions [PDF]
Bioinformatics, 2004 Abstract Motivation: We introduce a new approach to using the information contained in sequence-to-function prediction data in order to recognize protein template classes, a critical step in predicting protein structure. The data on which our method is based comprise probabilities of functional categories; for given query sequences these
Sommer, I. +4 more
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CirPred, the first structure modeling and linker design system for circularly permuted proteins
BMC Bioinformatics, 2021 Background This work aims to help develop new protein engineering techniques based on a structural rearrangement phenomenon called circular permutation (CP), equivalent to connecting the native termini of a protein followed by creating new termini at ...
Teng-Ruei Chen +4 more
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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
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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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