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    APR Prediction Models GAP (Generalized Aggregation Proneness) ANuPP (Prediciton of Nucleating APRs) VLAmY-Pred (Predicting antibody light chain aggregation) Aggregation Kinetics Prediction Models AggreRATE-Disc (Classifying Aggregating Point Mutation) AggreRATE-Pred (Predicting Aggregation Rate for Point Mutation) AbsoluRATE (Predicting Absolute aggregation rate) Amylo-Pipe (Comprehensive aggregation prediction)
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  • Tutorial
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    • APR Prediction Models:
    • GAP (Generalized Aggregation Proneness)
    • ANuPP (Prediciton of Nucleating APRs)
    • VLAmY-Pred (Predicting antibody light chain aggregation)
    • Aggregation Kinetics Prediction Models:
    • AggreRATE-Disc (Classifying Aggregating Point Mutation)
    • AggreRATE-Pred (Predicting Aggregation Rate for Point Mutation)
    • AbsoluRATE (Predicting Absolute aggregation rate)
    • Amylo-Pipe (Comprehensive aggregation prediction)

Upload the data in CPAD 2.0 database


User can upload the aggregation related data in bulk by filling the template CSV files given below. Please download the template CSV files for respective dataset from the link below:


Aggregating proteins/peptides:
Aggregation prone regions (APRs):
Aggregation kinetics:
Structure of aggregation related proteins:



Please mail these CSV files to puneet021192@gmail.com with your name and institution detail. We will manually inspect the data and notify you through the mail after it gets published in the database. The process usually takes a week.

Thank you for considering CPAD 2.0 to showcase your data.


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CPAD 2.0 database is developed on Django, a python-based web framework.

Any queries related to the database please contact:
Puneet Rawat: puneet021192@gmail.com Prabakaran R: rpkarandev@gmail.com
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Developed by: Protein Bioinformatics Lab, Department of Biotechnology, Indian Institute of Technology, Madras, Chennai, India.
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