Official repository of "Multi-level Interaction Modeling for Protein Mutational Effect Prediction" - THU-ATOM/ProMIM
ProMEP achieves state-of-the-art performance in mutational effect prediction and accomplishes a tremendous improvement in speed, enabling efficient and intelligent protein engineering. Specifically, ProMEP accurately forecasts mutational consequences on the gene-editing enzymes TnpB and TadA, and ...
A major challenge in protein design is to augment existing functional proteins with multiple property enhancements. Altering several properties likely necessitates numerous primary sequence changes, and novel methods are needed to accurately predict combinations of mutations that maintain or enhance function....
Multi-level Protein Representation Learning for Blind Mutational Effect Prediction The prediction results achieve state-of-the-art performance over other zero-shot learning methods for both single-site mutations and deep mutations.Tan, ... Y Tan,B Zhou,Y Jiang,... 被引量: 0发表: 2023年 加载更...
Hence, the effect of ionic strength on the binding affinity (i.e., ka/kd) will be almost solely confined to the association rate. In this sense, ionic strength in protein association is analogous to a mutation with a Φ value of 1 in protein folding. Like a native contact that is ...
(PDB: 1XPB34, Fig.2A). In addition, mutation effect prediction from the model (EVH), for single residue variants, is positively correlated with a published deep mutational scan of WT TEM-1 (replicate 1:n = 4788 with Spearman = 0.717; replicate 2:n = 4769 with Spearman...
Prediction of salt and mutational effects on the association rate of U1A protein and U1 small nuclear RNA stem/loop II 来自 Semantic Scholar 喜欢 0 阅读量: 21 作者:S Qin,HX Zhou 摘要: We have developed a computational approach for predicting protein-protein association rates (Alsallaq and ...
Self-supervised neural language models with attention have recently been applied to biological sequence data, advancing structure, function and mutational effect prediction. Some protein language models, including MSA Transformer and AlphaFold’s EvoFormer, take multiple sequence alignments (MSAs) of evoluti...
the mutation effect prediction accuracies improve upon hidden Markov model74(HMM, white) accuracies. Without using alignments, the autoregressive model matches alignment-dependent state-of-art missense mutation effect prediction (DeepSequence) for 40 different deep mutational scan experiments. Three datas...
proteinfunctional connectivity, to measure the functional strength (rather than the topological strength) of a protein's impact on its neighbours and, in turn, determine the functional importance of proteins in a protein interaction network. The details of the function prediction algorithm that is bas...