Results 11 to 20 of about 1,677,396 (366)
Peptide-binding specificity prediction using fine-tuned protein structure prediction networks. [PDF]
Proc Natl Acad Sci U S A, 2023 Peptide binding proteins play key roles in biology, and predicting their binding specificity is a long-standing challenge. While considerable protein structural information is available, the most successful current methods use sequence information alone,
Motmaen A +5 more
europepmc +2 more sources
Protein structure prediction in genomics [PDF]
Briefings in Bioinformatics, 2001 As the number of completely sequenced genomes rapidly increases, including now the complete Human Genome sequence, the post-genomic problems of genome-scale protein structure determination and the issue of gene function identification become ever more pressing.
David T. Jones
openalex +4 more sources
Accurate protein structure prediction with hydroxyl radical protein footprinting data
Nature Communications, 2021 Mass spectrometry-based covalent labeling techniques such as hydroxyl radical protein footprinting (HRPF) provide information about protein tertiary structures.
Sarah E. Biehn, Steffen Lindert
doaj +2 more sources
Protein structure prediction based on particle swarm optimization and tabu search strategy [PDF]
BMC Bioinformatics, 2022 Background The stability of protein sequence structure plays an important role in the prevention and treatment of diseases. Results In this paper, particle swarm optimization and tabu search are combined to propose a new method for protein structure ...
Yu Shuchun +3 more
doaj +2 more sources
Single-sequence protein structure prediction using a language model and deep learning. [PDF]
Nat Biotechnol, 2022 Chowdhury R +11 more
europepmc +2 more sources
Protein Structure Prediction [PDF]
Biophysical Journal, 2008 Protein structure prediction has matured over the past few years to the point that even fully automated methods can provide reasonably accurate three-dimensional models of protein structures. However, until now it has not been possible to develop programs able to perform as well as human experts, who are still capable of systematically producing better
AlLazikani B, Hill EE, Morea V
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The breakthrough in protein structure prediction [PDF]
Biochemical Journal, 2021 Proteins are the essential agents of all living systems. Even though they are synthesized as linear chains of amino acids, they must assume specific three-dimensional structures in order to manifest their biological activity. These structures are fully specified in their amino acid sequences — and therefore in the nucleotide sequences of their genes ...
Andrei N. Lupas +5 more
openaire +3 more sources
Deep template-based protein structure prediction.
PLoS Computational Biology, 2021 MotivationProtein structure prediction has been greatly improved by deep learning, but most efforts are devoted to template-free modeling. But very few deep learning methods are developed for TBM (template-based modeling), a popular technique for protein
Fandi Wu, Jinbo Xu
doaj +1 more source
Evolutionary-scale prediction of atomic level protein structure with a language model
bioRxiv, 2022 Artificial intelligence has the potential to open insight into the structure of proteins at the scale of evolution. It has only recently been possible to extend protein structure prediction to two hundred million cataloged proteins.
Zeming Lin +14 more
semanticscholar +1 more source