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Integrating Computation, Experiment, and Machine Learning in the Design of Peptide-Based Supramolecular Materials and
Maithreyi Ramakrishnan1,2,3, Alexander van Teijlingen4, Tell Tuttle4
1Advanced Science Research Center (ASRC) at the Graduate Center, City University of New York (CUNY), New York, NY 10031, USA.
Angewandte Chemie (International Ed. in English)
|February 1, 2023
Summary
Computational methods and artificial intelligence accelerate the design of peptide-based supramolecular materials. This integration with experimental data offers seamless understanding and creation of novel self-assembling systems.
Area of Science:
- Materials Science
- Computational Chemistry
- Biotechnology
Background:
- Peptide-based supramolecular materials research has expanded significantly since the 1980s.
- Computational methods have become integral to understanding peptide interactions and designing new materials.
Purpose of the Study:
- To review the history and recent advances in computationally driven peptide self-assembly.
- To highlight the synergistic integration of computational and experimental approaches in this field.
Main Methods:
- Review of computational and experimental investigations into peptide structures and self-assembly.
- Focus on recent advancements in computational methodology development.
- Exploration of artificial intelligence applications in screening peptide candidates.
Main Results:
- Computational methods enhance understanding of experimental observations in peptide self-assembly.
- Artificial intelligence significantly increases the efficiency of screening potential supramolecular candidates.
- The synergy between computation and experiment is crucial for designing novel peptide-based materials.
Conclusions:
- The integration of computational and experimental approaches is becoming seamless in peptide supramolecular material design.
- Advanced computational strategies, including AI, are essential for navigating complex design spaces.
- This integrated approach drives innovation in peptide self-assembly and material development.
