Cite Us

Please cite us if the use of this database has helped you in your work and or resulted in any publication: A. Kulandaisamy, R. Sakthivel and M. Michael Gromiha* (2020) MPTherm: Database for Membrane Protein Thermodynamics for understanding folding and stability. Brief Bioinform, (2020) bbaa064.

Related links

Databases

ProTherm: Thermodynamic database for Proteins and Mutants
ProNIT: Thermodynamic database for protein-nucleic acid interactions
MutHTP: Mutations in Human Transmembrane Proteins
PDBTM: Protein Data Bank of Transmembrane Proteins
TOPDB: Topology Data Bank of Transmembrane Proteins

Web servers

FoldX: A protein design algorithm that uses an empirical force field
I-Mutant: A tool for predicting protein stability upon mutation
EASE-MM: Evolutionary, Amino acid, and Structural Encodings with Multiple Models
MUpro: Prediction of Protein Stability Changes for Single Site Mutations from Sequences
SDM: A server for predicting effects of mutations on protein stability
DUET: a server for predicting effects of mutations on protein stability via an integrated computational approach
mCSM: predicting the effect of mutations in proteins using graph-based signatures
MAESTRO: Multi agent stability prediction upon point mutations
AUTOMUTE: Accurate prediction of stability changes in protein mutants
iPTREE-STAB: A web server for discriminating and predicting the stability of proteins (stabilizing or destabilizing)
CUPSAT: A tool to predict changes in protein stability upon point mutations
STRUM: Structure-based stability change prediction upon single-point mutation