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PPI-Affinity: A Web Tool for the Prediction and Optimization of Protein-Peptide and Protein-Protein Binding Affinity. JOURNAL OF PROTEOME RESEARCH. 2022. pdf |
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Machine learning methods for protein-protein binding affinity prediction in protein design. Frontiers in bioinformatics. 2023 Link |
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A topology-based network tree for the prediction of protein-protein binding affinity changes following mutation. NATURE MACHINE INTELLIGENCE. 2020 Link |
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Binding affinity prediction for antibody-protein antigen complexes: A machine learning analysis based on interface and surface areas
.JOURNAL OF MOLECULAR GRAPHICS & MODELLING.2022 pdf |
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ISLAND: in-silico proteins binding affinity prediction using sequence information. BIODATA MINING. 2020. Link (Github 代码有) |
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Predicting binding affinities of emerging variants of SARS-CoV-2 using spike protein sequencing data: observations, caveats and recommendations. BRIEFINGS IN BIOINFORMATICS. 2022. pdf |
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Hom-Complex-Based Machine Learning (HCML) for the Prediction of Protein-Protein Binding Affinity Changes upon Mutation. JOURNAL OF CHEMICAL INFORMATION AND MODELING. 2022 pdf |
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mCSM-PPI2: predicting the effects of mutations on protein-protein interactions. NUCLEIC ACIDS RESEARCH. 2019 Link (有web服务) |
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SAAMBE-SEQ: a sequence-based method for predicting mutation effect on protein-protein binding affinity. BIOINFORMATICS. 2021. Link |
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Vaccine-escape and fast-growing mutations in the United Kingdom, the United States, Singapore, Spain, India, and other COVID-19-devastated countries. 2021. pdf (这是了解新冠免疫逃逸的必看论文) |
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In silico analysis of SARS-CoV-2 spike protein N501Y and N501T mutation effects on human ACE2 binding. JOURNAL OF MOLECULAR GRAPHICS & MODELLING. 2021 pdf |
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Omicron BA.2 (B.1.1.529.2): High Potential for Becoming the Next Dominant Variant.JOURNAL OF PHYSICAL CHEMISTRY LETTERS. 2022 |
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SAAMBE-3D: Predicting Effect of Mutations on Protein-Protein Interactions.INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES. 2020. Link |
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VarEPS: an evaluation and prewarning system of known and virtual variations of SARS-CoV-2 genomes. NUCLEIC ACIDS RESEARCH. 2022. pdf |
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D3AI-Spike: A deep learning platform for predicting binding affinity between SARS-CoV-2 spike receptor binding domain with multiple amino acid mutations and human angiotensin-converting enzyme 2. COMPUTERS IN BIOLOGY AND MEDICINE. 2022. pdf |
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The SARS-CoV-2 Spike variant D614G favors an open conformational state. SCIENCE ADVANCES. 2021 link |
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Persistent spectral based ensemble learning (PerSpect-EL) for protein-protein binding affinity prediction.BRIEFINGS IN BIOINFORMATICS. 2022 pdf |
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Deep geometric representations for modeling effects of mutations on protein-protein binding affinity. PLOS Comput. Biol. 2021 pdf |
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