PremPLI: a machine learning model for predicting the effects of missense mutations on protein-ligand interactions
T Sun, Y Chen, Y Wen, Z Zhu, M Li - Communications biology, 2021 - nature.com
Resistance to small-molecule drugs is the main cause of the failure of therapeutic drugs in
clinical practice. Missense mutations altering the binding of ligands to proteins are one of the …
clinical practice. Missense mutations altering the binding of ligands to proteins are one of the …
[HTML][HTML] Predicting the impacts of mutations on protein-ligand binding affinity based on molecular dynamics simulations and machine learning methods
Purpose Mutation-induced variation of protein-ligand binding affinity is the key to many
genetic diseases and the emergence of drug resistance, and therefore predicting such …
genetic diseases and the emergence of drug resistance, and therefore predicting such …
iSEE: Interface structure, evolution, and energy‐based machine learning predictor of binding affinity changes upon mutations
Quantitative evaluation of binding affinity changes upon mutations is crucial for protein
engineering and drug design. Machine learning‐based methods are gaining increasing …
engineering and drug design. Machine learning‐based methods are gaining increasing …
mCSM-PPI2: predicting the effects of mutations on protein–protein interactions
Protein–protein Interactions are involved in most fundamental biological processes, with
disease causing mutations enriched at their interfaces. Here we present mCSM-PPI2, a …
disease causing mutations enriched at their interfaces. Here we present mCSM-PPI2, a …
Quantification of biases in predictions of protein–protein binding affinity changes upon mutations
Understanding the impact of mutations on protein–protein binding affinity is a key objective
for a wide range of biotechnological applications and for shedding light on disease-causing …
for a wide range of biotechnological applications and for shedding light on disease-causing …
mmCSM-PPI: predicting the effects of multiple point mutations on protein–protein interactions
CHM Rodrigues, DEV Pires… - Nucleic Acids Research, 2021 - academic.oup.com
Protein–protein interactions play a crucial role in all cellular functions and biological
processes and mutations leading to their disruption are enriched in many diseases. While a …
processes and mutations leading to their disruption are enriched in many diseases. While a …
Predicting the impact of missense mutations on protein–protein binding affinity
The crucial prerequisite for proper biological function is the protein's ability to establish
highly selective interactions with macromolecular partners. A missense mutation that alters …
highly selective interactions with macromolecular partners. A missense mutation that alters …
[PDF][PDF] MutaBind2: predicting the impacts of single and multiple mutations on protein-protein interactions
N Zhang, Y Chen, H Lu, F Zhao, RV Alvarez… - Iscience, 2020 - cell.com
Missense mutations may affect proteostasis by destabilizing or over-stabilizing protein
complexes and changing the pathway flux. Predicting the effects of stabilizing mutations on …
complexes and changing the pathway flux. Predicting the effects of stabilizing mutations on …
Deep geometric representations for modeling effects of mutations on protein-protein binding affinity
Modeling the impact of amino acid mutations on protein-protein interaction plays a crucial
role in protein engineering and drug design. In this study, we develop GeoPPI, a novel …
role in protein engineering and drug design. In this study, we develop GeoPPI, a novel …
ProAffiMuSeq: sequence-based method to predict the binding free energy change of protein–protein complexes upon mutation using functional classification
S Jemimah, M Sekijima, MM Gromiha - Bioinformatics, 2020 - academic.oup.com
Motivation Protein–protein interactions are essential for the cell and mediate various
functions. However, mutations can disrupt these interactions and may cause diseases …
functions. However, mutations can disrupt these interactions and may cause diseases …