ProThermDB
ProThermDB provides thermodynamic data for proteins and protein mutants to support analysis of protein stability and folding.
Key Features:
- Extensive Data Collection: Contains approximately 31,500 entries and over 120,000 thermodynamic parameters, representing an 84% expansion relative to the original ProTherm.
- Data Sources: Includes data derived using high-throughput proteomics techniques employing whole-cell approaches and literature-reported experiments.
- Diverse Thermodynamic Parameters: Reports melting temperature, free energy (measured through thermal and denaturant denaturation), enthalpy change, and heat capacity change for proteins and mutants.
- Experimental Context: Associates each entry with detailed experimental methods and conditions to enable comparative analyses and replication.
- Sequence and Structural Information: Integrates sequence and structural data to relate mutations to stability at molecular and structural levels.
- Literature Integration: Cross-links entries to PDB, UniProt, and PubMed for access to structural records and source publications.
Scientific Applications:
- Protein Engineering: Supports design and evaluation of mutations to modify protein stability using reported thermodynamic parameters.
- Mutational Analysis: Enables analysis of the effects of specific amino acid substitutions on protein folding and stability.
- Comparative Studies: Facilitates comparison of thermodynamic parameters across proteins, mutants, organisms, and cell lines for evolutionary and functional investigations.
Methodology:
Collects thermodynamic parameters measured by thermal and denaturant denaturation (melting temperature, ΔG, ΔH, ΔCp), integrates sequence and structural data, and cross-links entries to PDB, UniProt, and PubMed; includes data derived from high-throughput proteomics employing whole-cell approaches.
Topics
Details
- Programming Languages:
- Python, JavaScript
- Added:
- 1/18/2021
- Last Updated:
- 11/24/2024
Operations
Publications
Nikam R, Kulandaisamy A, Harini K, Sharma D, Gromiha MM. ProThermDB: thermodynamic database for proteins and mutants revisited after 15 years. Nucleic Acids Research. 2020;49(D1):D420-D424. doi:10.1093/nar/gkaa1035. PMID:33196841. PMCID:PMC7778892.