Results 41 to 50 of about 1,677,396 (366)
De novo design of protein structure and function with RFdiffusion
Nature, 2023 There has been considerable recent progress in designing new proteins using deep-learning methods^ 1 – 9 . Despite this progress, a general deep-learning framework for protein design that enables solution of a wide range of design challenges, including ...
Joseph L. Watson +27 more
semanticscholar +1 more source
Protein secondary structure: Entropy, correlations and prediction [PDF]
, 2003 Is protein secondary structure primarily determined by local interactions between residues closely spaced along the amino acid backbone, or by non-local tertiary interactions?
Brenner, Steven E., Crooks, Gavin E.
core +6 more sources
BMC Bioinformatics, 2020 Background Whenever suitable template structures are not available, usage of fragment-based protein structure prediction becomes the only practical alternative as pure ab initio techniques require massive computational resources even for very small ...
Jad Abbass, Jean-Christophe Nebel
doaj +1 more source
Single-sequence protein structure prediction using supervised transformer protein language models
bioRxiv, 2022 It remains challenging for single-sequence protein structure prediction with AlphaFold2 and other deep learning methods. In this work, we introduce trRosettaX-Single, a novel algorithm for singlesequence protein structure prediction.
Wenkai Wang, Zhenling Peng, Jianyi Yang
semanticscholar +1 more source
Protein Structure Prediction [PDF]
, 2009 Práce popisuje prostorovou strukturu molekul bílkovin a databází uchovávajících representace této struktury, či její hierarchické klasifikace. Je poskytnut přehled současných metod výpočetní predikce struktury bílkovin, přičemž největší pozornost je ...
Tuček, Jaroslav
core +1 more source
High‐accuracy protein structure prediction in CASP14
Proteins: Structure, Function, and Bioinformatics, 2021 The application of state‐of‐the‐art deep‐learning approaches to the protein modeling problem has expanded the “high‐accuracy” category in CASP14 to encompass all targets.
J. Pereira +5 more
semanticscholar +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 ...
Chunlong Zhou, Yan Zhou, Yao Zheng
openaire +3 more sources
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
bioRxiv, 2022 There has been considerable recent progress in designing new proteins using deep learning methods1–9. Despite this progress, a general deep learning framework for protein design that enables solution of a wide range of design challenges, including de ...
Joseph L. Watson +26 more
semanticscholar +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