Results 21 to 30 of about 1,386,749 (339)
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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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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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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Critical assessment of methods of protein structure prediction (CASP)—Round XIV
Proteins: Structure, Function, and Bioinformatics, 2021 Critical assessment of structure prediction (CASP) is a community experiment to advance methods of computing three‐dimensional protein structure from amino acid sequence. Core components are rigorous blind testing of methods and evaluation of the results
A. Kryshtafovych +4 more
semanticscholar +1 more source
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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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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