A tool for predicting the effects of missense mutations on protein stability changes upon missense mutation using protein sequence only. PROST uses colab AlhpaFold2 for the prediction of pdb struture from FASTA sequence.

Coupling codon and protein constraints decouples drivers of variant pathogenicity

A tool for predicting the effects of missense mutations on protein stability changes upon missense mutation using protein sequence only.

Detects hotspot regions for somatic mutations in 3D protein structures

CAGI7_Annotate_All_Missense https://genomeinterpretation.org/cagi7-annotate-all-missense.html

This program converts PDB to FASTA sequence and maps pdb's mutation position to fasta's position.

Deep learning framework to predict functional effects of missense variants in human

Sequence modification of proteins on atomistic level

Evaluating AlphaMissense pathogenicity scores for PDAC diagnostics and molecular subtyping, using TCGA-PAAD and 1000 Genomes data

Interpretable machine learning analyses for classifying cancer and neurodevelopmental disorder missense mutations.

Optimal AlphaMissense threshold based on VKGL variant classifications

Machine learning and structural dynamics workflows for interpreting PTEN missense mutations shared by cancer and ASD.

protPheMut-based screening and molecular dynamics validation of distal allosteric mutations in RAS/MAPK/PI3K pathway proteins.