An outlook on structural biology after AlphaFold: tools, limits and perspectives
AlphaFold and similar groundbreaking, AI‐based tools, have revolutionized the field of structural bioinformatics, with their remarkable accuracy in ab‐initio protein structure prediction. This success has catalyzed the development of new software and pipelines aimed at incorporating AlphaFold's...
Saved in:
Main Authors: | Serena Rosignoli, Maddalena Pacelli, Francesca Manganiello, Alessandro Paiardini |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2025-02-01
|
Series: | FEBS Open Bio |
Subjects: | |
Online Access: | https://doi.org/10.1002/2211-5463.13902 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
AlphaFold2 and ESMFold: A large-scale pairwise model comparison of human enzymes upon Pfam functional annotation
by: Matteo Manfredi, et al.
Published: (2025-01-01) -
AlphaFold 2, but not AlphaFold 3, predicts confident but unrealistic β-solenoid structures for repeat proteins
by: Olivia S. Pratt, et al.
Published: (2025-01-01) -
AlphaFold-based AI docking reveals AMPK/SIRT1-TFEB pathway modulation by traditional Chinese medicine in metabolic-associated fatty liver disease
by: Lulu Zhang, et al.
Published: (2025-02-01) -
Single-cell RNA sequencing and AlphaFold 3 insights into cytokine signaling and its role in uveal melanoma
by: Hongyan Sun, et al.
Published: (2025-01-01) -
Structural engineering of stabilized, expanded epitope nanoparticle vaccines for HPV
by: Michaela Helble, et al.
Published: (2025-01-01)