ReviewFEBS open bio2025
An outlook on structural biology after AlphaFold: tools, limits and perspectives.
Review in FEBS open bio, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
15 citing papers in PubMed.
- A historical journey of metabolite-protein interaction discovery: from data harmonization to AI-driven prediction.Briefings in bioinformatics · 2026Review
- Navigating the uncharted: AI-driven advances in protein structure, dynamics, interactions and ligand interactions for understudied families.BioData mining · 2026Review
- mbioRxiv : the preprint server for biology · 2026Article
- Bioinformatics-Driven, Plant-Based Antibiotic Research Against Quorum Sensing and Biofilm Formation inBiomolecules · 2026Review
- The Interaction between the Tyrosine Kinase Receptor EphA2 and RNF5: Structural Insights from anComputational and structural biotechnology journal · 2026Article
- Novel biopharmaceutical strategies: Fc-fusion protein technology.Frontiers in pharmacology · 2026Review
- A step further in our commitment to support early career researchers (ECRs).FEBS open bio · 2026Article
- Towards site-specific information on PET degrading enzymes using NMR near operational temperature.Scientific reports · 2025Article
- Accurate site-specific folding via conditional diffusion based on AlphaFold3.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Deep learning-assisted tools to understand the structural biology of the synapse.Biomedical engineering letters · 2025Review
- Unraveling the Roles of Epigenetic Regulators During the Embryonic Development ofInternational journal of molecular sciences · 2025Article
- Accurate Site-specific Folding via Conditional Diffusion Based on Alphafold3.bioRxiv : the preprint server for biology · 2025Article
- Current Bioinformatics Tools in Precision Oncology.MedComm · 2025Review
- Unraveling the Engagement of Kinases to CRBN Through a Shared Structural Motif to Optimize PROTACs Efficacy.Biomolecules · 2025Review
- Structural Bioinformatics: exciting times in a rapidly evolving field.FEBS open bio · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
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 predictions, often focusing on addressing the algorithm's remaining challenges. Here, we present the current landscape of structural bioinformatics shaped by AlphaFold, and discuss how the field is dynamically responding to this revolution, with new software, methods, and pipelines. While the excitement around AI-based tools led to their widespread application, it is essential to acknowledge that their practical success hinges on their integration into established protocols within structural bioinformatics, often neglected in the context of AI-driven advancements. Indeed, user-driven intervention is still as pivotal in the structure prediction process as in complementing state-of-the-art algorithms with functional and biological knowledge.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.