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B-SIDER: Computational Algorithm for the Design of Complementary β-Sheet Sequences.

Tae-Geun Yu1, Hak-Sung Kim1, Yoonjoo Choi1

  • 1Department of Biological Sciences , Korea Advanced Institute of Science and Technology (KAIST) , Daejeon 34141 , Republic of Korea.

Journal of Chemical Information and Modeling
|September 13, 2019
PubMed
Summary
This summary is machine-generated.

We developed B-SIDER, a novel database search method to design complementary beta-strands. This tool aids in creating therapeutics by predicting protein interactions and improving protein designs for disease treatment.

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Area of Science:

  • Protein structure and function
  • Biochemistry
  • Computational biology

Background:

  • Beta-sheet structures are crucial for protein function but dysregulation causes diseases like Alzheimer's.
  • Designing therapeutic proteins is challenging due to the complexity of amyloidogenic peptides.
  • Current structure-based design methods have limitations for highly plastic protein structures.

Purpose of the Study:

  • To develop a sequence-based computational method for designing complementary beta-strands.
  • To assess the efficacy of the B-SIDER method against existing protein design tools.
  • To demonstrate the application of B-SIDER in designing functional protein scaffolds.

Main Methods:

  • Developed B-SIDER, a database search method utilizing structural information to generate target-specific score matrices for beta-strand design.
  • Validated B-SIDER's discriminatory power by testing it on amyloidogenic peptide substructures against PASTA 2.0, Rosetta, and FoldX.
  • Applied B-SIDER to design complementary beta-strands for a split GFP scaffold.

Main Results:

  • B-SIDER consistently distinguished favored interactions in wild-type amyloidogenic beta-strands better than PASTA 2.0, Rosetta, and FoldX.
  • Prospectively designed complementary beta-strands using B-SIDER resulted in enhanced interactions and higher fluorescence in a split GFP scaffold.
  • Three B-SIDER-designed variants showed stronger interactions than the original sequence selected via directed evolution.

Conclusions:

  • B-SIDER is an effective sequence-based approach for designing complementary beta-strands.
  • The method shows promise for developing novel therapeutics targeting amyloidogenic peptides and diseases.
  • B-SIDER can be broadly applied to the design of various beta-strand interactions in protein engineering.