| URL: | https://web.iitm.ac.in/bioinfo2/cpad2/index |
| Full name: | The Curated Protein Aggregation Database |
| Description: | CPAD 2.0 is an integrated database which contains information related to amyloidogenic proteins, Aggregation prone regions, aggregation kinetics and structure of proteins relevant to aggregation. Authors are encouraged to deposit any information related to above topics to our server |
| Year founded: | 2020 |
| Last update: | |
| Version: | 2.0 |
| Accessibility: |
Accessible
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| Country/Region: | India |
| Data type: | |
| Data object: |
NA
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| Database category: | |
| Major species: | |
| Keywords: |
| University/Institution: | Indian Institute of Technology Madras |
| Address: | Protein Bioinformatics Lab, Department of Biotechnology, Bhupat and Jyoti Mehta School of Biosciences, Indian Institute of Technology Madras, Chennai, India. Biotherapeutics Discovery, Boehringer-Ingelheim Inc, Ridgefield, CT, USA. Advanced Computational Drug Discovery Unit (ACDD), Tokyo Tech World Research Hub Initiative (WRHI), Institute of Innovative Research, Tokyo Institute of Technology, Yokohama, Japan. |
| City: | |
| Province/State: | Chennai |
| Country/Region: | India |
| Contact name (PI/Team): | M Michael Gromiha |
| Contact email (PI/Helpdesk): | gromiha@iitm.ac.in |
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CPAD 2.0: a repository of curated experimental data on aggregating proteins and peptides. [PMID: 31979981]
The Curated Protein Aggregation Database (CPAD) is a manually curated and open-access database dedicated to providing comprehensive information related to mechanistic, kinetic and structural aspects of protein and peptide aggregation. The database has been updated to CPAD 2.0 by significantly expanding datasets and improving the user-interface. Key features of CPAD 2.0 are (i) 83,098 data points on aggregation kinetics experiments, (ii) 565 structures related to aggregation, which are classified into proteins, fibrils, and protein-ligand complexes, (iii) 2031 aggregating/non-aggregating peptides with pre-calculated aggregation properties, and (iv) 912 aggregation-prone regions in amyloidogenic proteins. This database will help the scientific community (a) by facilitating research leading to improved understanding of protein aggregation, (b) by helping develop, validate and benchmark mechanistic and kinetic models of protein aggregation, and (c) by assisting experimentalists with design of their investigations and dissemination of data generated by their studies. CPAD 2.0 can be accessed at https://web.iitm.ac.in/bioinfo2/cpad2/index.html. |