Challenges and opportunities in macromolecular structure determination

Embedded within the complexity of biological systems lies a formidable task: deciphering the intricate architecture of macromolecules. In this Viewpoint, a panel of experts discuss the key challenges and opportunities of macromolecular structure determination, highlighting the crucial synergy betwee...

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Veröffentlicht in:	Nature reviews. Molecular cell biology 2024-01, Vol.25 (1), p.7-12
Hauptverfasser:	Bai, Xiao-chen, Gonen, Tamir, Gronenborn, Angela M., Perrakis, Anastassis, Thorn, Andrea, Yang, Jianyi
Format:	Artikel
Sprache:	eng
Schlagworte:	631/1647/2258 631/535 Artificial intelligence Biochemistry Biology Biomedical and Life Sciences Cancer Research Cell Biology Complexity Cryoelectron Microscopy Crystallography Developmental Biology Drugs Enzymes Experimentation Flexibility Kinases Life Sciences Ligands Machine learning Macromolecular Substances - chemistry Macromolecules Medical research Microscopy Models, Molecular Molecular structure Proteins Stem Cells Viewpoint X-rays
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Beschreibung
Zusammenfassung:	Embedded within the complexity of biological systems lies a formidable task: deciphering the intricate architecture of macromolecules. In this Viewpoint, a panel of experts discuss the key challenges and opportunities of macromolecular structure determination, highlighting the crucial synergy between empirical experimentation and artificial intelligence-based techniques in unravelling these complexities. Embedded within the complexity of biological systems lies a formidable task: deciphering the intricate architecture of macromolecules. In this Viewpoint, a panel of experts discuss the key challenges and opportunities of macromolecular structure determination, highlighting the crucial synergy between empirical experimentation and artificial intelligence-based techniques in unravelling these complexities.
ISSN:	1471-0072 1471-0080
DOI:	10.1038/s41580-023-00659-y