Determining the structure and function of a novel protein is a cornerstone of many aspects of modern biology. Over the past decades, a number of computational tools for structure prediction have been developed. It is critical that the biological communit
The method can realize the prediction on the variety and function of an unknown protein, verification results show that the method has better predicting accurate rate on a G protein-coupled receptor, a zymoprotein, a protein subcellular structure and a protein secondary structure; during online ...
Significant progress has been made in protein structure prediction in recent years. However, it remains challenging for AlphaFold2 and other deep learning-based methods to predict protein structure with single-sequence input. Here we introduce trRosettaX-Single, an automated algorithm for single-sequence...
Protein structure prediction is one such problem: locating the biologically relevant native conformation of a protein is a formidable computational challenge given the very large size of the search space. Here we describe Foldit, a multiplayer online game that engages non-scientists in solving hard ...
One-dimensional (1D) structure prediction is the prediction of protein structural features such as secondary structures, solvent accessibilities, disordered residues or domain boundaries along one-dimensional sequences. Since 1D prediction is usually the first step to obtain protein structure, the largest...
PredictProtein recently included predictions from deep learning embeddings (GO and secondary structure) and a method for the prediction of proteins and residues binding DNA, RNA, or other proteins. PredictProtein.org aspires to provide reliable predictions to computational and experimental biologists alike...
Jumper, Jet al. Highly accurate protein structure prediction with AlphaFold.Nature(2021). Varadi, Met al. AlphaFold Protein Structure Database in 2024: providing structure coverage for over 214 million protein sequences.Nucleic Acids Research(2024). ...
All-atom structure prediction and folding simulations of a stable protein J. Am. Chem. Soc., 124 (2002), pp. 11258-11259 View in ScopusGoogle Scholar Snow et al., 2002 C.D. Snow, N. Nguyen, V.S. Pande, M. Gruebele Absolute comparison of simulated and experimental protein-folding dyna...
Understanding by design: Implementing deep learning from protein structure prediction to protein design Gao, Yuanxu, Jiangshan Zhan, and Albert CH Yu MedComm-Future Medicine 1.2 (2022): e22 Diffusion Models in Bioinformatics: A New Wave of Deep Learning Revolution in Action Zhiye Guo, Jian Liu, ...
[1]:https://en.wikipedia.org/wiki/Protein_structure_prediction [2]:https://en.wikipedia.org/wiki/Protein_secondary_structure [3]:https://www.ebi.ac.uk/training/online/course/introduction-protein-classification-ebi/what-are-protein-signatures/signature-types/what-are- ...