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ProADD: A database on Protein Aggregation Diseases.

Ramesh Shobana1, Eswari Pj Pandaranayaka1

  • 1Centre of Excellence in Bioinformatics, School of Biotechnology, Madurai Kamaraj University, Madurai -625021,India.

Bioinformation
|August 7, 2014
PubMed
Summary
This summary is machine-generated.

ProADD is a new database that organizes protein aggregation diseases and involved proteins. It aids researchers by classifying proteins using sequence and structural analysis to find aggregation patterns.

Keywords:
ProADDaggregationdatabasediseaseintrinsic disorderprotein

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Area of Science:

  • Biochemistry
  • Molecular Biology
  • Genomics

Background:

  • Protein aggregation diseases pose significant challenges in understanding molecular mechanisms.
  • Existing data on these diseases are fragmented, hindering comprehensive research.
  • The ProADD database aims to consolidate this information.

Purpose of the Study:

  • To develop a centralized database, ProADD, for protein aggregation diseases.
  • To facilitate easy access and organization of disease-related protein data for researchers.
  • To enable classification and pattern mining of aggregating proteins.

Main Methods:

  • Integration of data on protein aggregation diseases and their associated proteins.
  • Classification of proteins based on sequence and structural analysis.
  • Development of a user-friendly platform for data retrieval and analysis.

Main Results:

  • ProADD provides a unified platform for protein aggregation disease data.
  • Proteins are classified based on sequence and structural properties.
  • The database supports the identification of patterns in aggregating proteins.

Conclusions:

  • ProADD enhances research accessibility and organization for protein aggregation diseases.
  • The database facilitates deeper insights into the molecular basis of these diseases.
  • ProADD serves as a valuable resource for identifying therapeutic targets and understanding disease mechanisms.