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PIF - A Java library for finding atomic interactions and extracting geometric features supporting the analysis of

Weronika Jargieło1, Bożena Małysiak-Mrozek2, Dariusz Mrozek1

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Summary

The Protein Interaction Finder (PIF) library identifies atomic interactions in protein structures. This Java tool aids in drug discovery, protein modeling, and AI analysis by accurately detecting various bonds and interactions.

Keywords:
Atomic interactionsFeature extractionJavaLibraryProteins

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Area of Science:

  • Biochemistry and Structural Biology
  • Computational Biology and Bioinformatics

Background:

  • Proteins are vital for life, with atomic interactions governing their structure and dynamics.
  • Understanding these interactions is crucial for determining native protein structures and functions.
  • Existing methods may lack comprehensive analysis or ease of integration.

Purpose of the Study:

  • To introduce the Protein Interaction Finder (PIF) library for Java.
  • To enable the identification of diverse atomic interactions within protein 3D structures.
  • To provide a universal tool supporting drug discovery, protein modeling, and AI applications.

Main Methods:

  • Developed a Java library (PIF) for analyzing protein 3D structures.
  • Implemented interaction calculation rules based on documented theoretical foundations and experimental studies.
  • Supported identification of hydrogen bonds, disulfide bonds, ionic, hydrophobic, aromatic-aromatic, sulfur-aromatic, and amino-aromatic interactions.

Main Results:

  • The PIF library effectively identifies selected atomic interactions in protein structures.
  • PIF demonstrated comparable or superior performance against competing tools in analyzing protein collections.
  • The library provides a programming interface for seamless integration into Java projects.

Conclusions:

  • The PIF library is a universal and effective tool for analyzing atomic interactions in proteins.
  • It supports critical areas such as drug discovery, protein structure modeling, and AI-driven protein analysis.
  • PIF's design facilitates broad applicability across various Java-based research and development projects.