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Proteins are polymers of amino acid residues. They are versatile and responsible for different cellular functions, including DNA replication, molecular transport, catalysis, and structural support. Proteins have a hierarchical structure comprising at least three levels of organization: primary, secondary, and tertiary structure. Some large proteins have a quaternary structure where individual protein subunits are linked together.
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A Protocol for Computer-Based Protein Structure and Function Prediction
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mTM-align2: A Server for Real-time Protein Structure Database Search and Alignment.

Qiuyi Lyu1, Hong Wei2, Shuaishuai Chen3

  • 1MOE Frontiers Science Center for Nonlinear Expectations, State Key Laboratory of Cryptography and Digital Economy Security, Research Center for Mathematics and Interdisciplinary Sciences, Shandong University, Qingdao 266237, China.

Genomics, Proteomics & Bioinformatics
|May 4, 2026
PubMed
Summary
This summary is machine-generated.

The mTM-align2 server rapidly identifies similar protein structures from millions of entries. This tool significantly enhances speed and accuracy for structural bioinformatics challenges.

Keywords:
AlphaFold DBMonomerMultimerProtein Data BankStructure database search

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Area of Science:

  • Structural bioinformatics
  • Computational biology
  • Protein structure analysis

Background:

  • Protein structure comparison is crucial for understanding biological function and evolution.
  • The vast increase in protein structure data, particularly from AlphaFold2, necessitates faster and more efficient search tools.
  • Existing methods face scalability challenges with large structural databases.

Purpose of the Study:

  • To introduce mTM-align2, an upgraded server for rapid protein structure similarity searching.
  • To address the computational demands posed by large-scale protein structure databases.
  • To provide a tool that balances speed and accuracy in structural bioinformatics.

Main Methods:

  • Development of the mTM-align2 server, an enhanced version of mTM-align.
  • Implementation of efficient algorithms for searching monomeric and multimeric protein structures.
  • Indexing and searching against a database of approximately 3 million protein structures.

Main Results:

  • mTM-align2 demonstrates a two- to three-fold increase in search speed compared to previous versions.
  • The server maintains high accuracy, comparable to state-of-the-art protein structure comparison methods.
  • mTM-align2 can search large structural databases in seconds.

Conclusions:

  • mTM-align2 offers a significant advancement in protein structure similarity searching.
  • The server effectively handles the scale of modern structural biology data.
  • mTM-align2 provides a valuable resource for the structural bioinformatics community.