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Platinum: a database of experimentally measured effects of mutations on structurally defined protein-ligand complexes

Douglas E V Pires1, Tom L Blundell2, David B Ascher3

  • 1Department of Biochemistry, University of Cambridge, Cambridge CB2 1GA, UK dpires@dcc.ufmg.br.

Nucleic Acids Research
|October 18, 2014
PubMed

Insights

Platinum is a new database linking protein structures, ligand binding, and mutation effects. It helps predict how mutations cause drug resistance, aiding treatment and drug design.

Area of Science:

  • Biochemistry
  • Structural Biology
  • Drug Discovery

Background:

  • Drug resistance is a major challenge in treating diseases and developing new therapeutics.
  • Understanding how mutations affect protein-ligand interactions is crucial for effective treatment and drug design.
  • Predicting the impact of genetic variations on drug efficacy is a significant unmet need.

Purpose of the Study:

  • To develop a comprehensive resource for studying the impact of missense mutations on protein-ligand interactions.
  • To create a link between experimental data on affinity changes and 3D structural information of protein-ligand complexes.
  • To provide a tool for understanding the molecular basis of drug resistance.

Main Methods:

  • Developed Platinum, a manually curated, literature-derived database.
  • Included over 1000 mutations with associated experimental affinity changes.
  • Focused on affinity changes measured by the same research group using the same experimental conditions and amino acid sequences to ensure comparability.

Main Results:

  • Platinum integrates experimental affinity data with 3D structural information for protein-ligand complexes.
  • The database provides direct links between protein structure, ligand binding mechanisms, and the effects of mutations.
  • It offers a valuable resource for analyzing how mutations alter ligand binding affinity.

Conclusions:

  • Platinum serves as an invaluable resource for understanding mutation-driven drug resistance.
  • The database can aid in the development of novel therapeutic strategies and drug design.
  • It has broad applications in infectious diseases, cancer, and other life-threatening illnesses.

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