Reliable method for predicting the binding affinity of RNA-small molecule interactions using machine learning.
Machine learning method for predicting the effect of point mutation in protein-RNA complexes using structural features
Language model for predicting the efefct of mutations in Zinc-finger proteins in cancers
Language model for predicting the efefct of mutations in Zinc-finger proteins in cancers
Reliable method for predicting the binding affinity of RNA-small molecule interactions using machine learning.
Machine learning methods for accurately predicting the binding affinity change upon mutation in membrane protein complexes
A a novel method for prediction of druggable RNA-small molecule binding pockets using machine learning.
Deep ensemble method for predicting the binding affinity change in protein-protein complexes upon mutation
Machine learning method for predicting the binding affinity of protein-DNA complexes.
Deep nueral network method to predict potential residues associated with Lung cancer
A tool to discriminate disease causing and neutral mutations in Alzheimer's disease
Deep learning-based bidning site residue prediction for proteins
Deep learning method for predicting and classifying the binding affinity of protein-protein complexes
Predicting the stability of alpha helical membrane proteins using sequence ans structral features
Machine learning method for identifying potential driver mutations in glioblastoma.
A machine learning tool to predict the binding free energy change upon mutation in protein-carbohydrate complexes
Deep learning-based method for predicting potential residues associated with lung cancer.
Machine learning method for predicting protein-carbohydrate binding affinities
A versatile tool to predict aggregation nucleating regions in peptides and proteins
Analysis and prediction of thermal stability changes upon mutations in transmembrane proteins.
A mathematical model for predicting change in aggregation rate upon point mutation
Sequence-based prediction of change in binding affinity upon mutation in protein-protein complexes
Machine learning tool for predicting the effect of variants associated with Alzheimer's disease.
A tool for predicting disease-causing and neutral mutations in human transmembrane proteins
Prediction of disease-associated mutations in the transmembrane regions of proteins with known 3D structures
A comprehensive web-based feature extraction tool
A deep learning method for predicting the binding affinity of protein-protein complexes
Identifying aggregation rate enhancer or mitigator mutations.
Importance of functional groups in predicting the activity of small molecule inhibitors of Bcl-2 and Bcl-xL
A curated database for binding affinity and neutralization profiles of coronavirus-related antibodies
Database of RNA small molecule binding affinities
A Database for Binding Affinity of Membrane Protein-protein Complexes and their Mutants
Database of protein-nucleic acid complexes and their mutants
Thermodynamic database for proteins and mutants revisited after 15 years
Database for Membrane Protein Thermodynamics for Understanding Folding and Stability
A database of human variants with comprehensive information at gene and protein levels.
Database of mutation in human transmembrane proteins.
A database of mutant protein-protei ncomplex thermodynamics and kinetics
Database of mutation in human transmembrane proteins.
Mammalian mitochondrial ncRNA database
Curated protein aggregation database