ArticleFrontiers in molecular biosciences2023
Biasing AlphaFold2 to predict GPCRs and kinases with user-defined functional or structural properties.
Article in Frontiers in molecular biosciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.
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Who cites it
42 citing papers in PubMed.
- Enhanced Sampling of Protein Conformations in AlphaFold3 with Repulsive Bias in the Diffusion Generative Model.JACS Au · 2026Article
- Elucidating the Structure and Activation Mechanisms of GPCRs Using Modern Computational and AI Tools.Cell biochemistry and biophysics · 2026Review
- Computer-aided structural modeling and drug discovery for G-protein-coupled receptors in the age of artificial intelligence.Current opinion in structural biology · 2026Review
- From "accurate structures" to decision-grade mechanisms: advancing AI-enabled GPCR biophysics toward globally reproducible standards.Cell biochemistry and biophysics · 2026Article
- Improving AlphaFold2 Performance in Virtual Screens Targeting GPCRs by Enhancing Binding-Site Conformational Sampling.Journal of chemical information and modeling · 2026Article
- ConforFold recovers alternative protein conformations beyond MSA subsampling.Protein science : a publication of the Protein Society · 2026Article
- Hidden structural states of proteins revealed by conformer selection.Nature communications · 2026Article
- Fine-Tuning DiffDock-L for Allosteric Kinase Docking.Journal of chemical information and modeling · 2026Article
- Disentangling coevolutionary constraints for modeling protein conformational heterogeneity.Communications chemistry · 2026Article
- Guiding AlphaFold predictions with experimental knowledge to inform dynamics and interactions with VAIRO.Protein science : a publication of the Protein Society · 2026Article
- The Role of Intrinsically Disordered Domains in Regulating G Protein-Coupled Receptor Signaling.Journal of the American Chemical Society · 2026Article
- Prediction of pre- and postfusion conformations of class I fusion proteins with AlphaFold2.PloS one · 2026Article
- Memorization bias impacts modeling of alternative conformational states of solute carrier membrane proteins with methods from deep learning.PLoS computational biology · 2025Article
- The role of intrinsically disordered domains in regulating G protein coupled receptor signaling.bioRxiv : the preprint server for biology · 2025Article
- Article
- Beyond static structures: protein dynamic conformations modeling in the post-AlphaFold era.Briefings in bioinformatics · 2025Review
- Memorization Bias Impacts Modeling of Alternative Conformational States of Symmetric Solute Carrier Membrane Proteins with Methods from Deep Learning.bioRxiv : the preprint server for biology · 2025Article
- Harnessing AlphaFold to reveal hERG channel conformational state secrets.bioRxiv : the preprint server for biology · 2025Article
- Can Deep Learning Blind Docking Methods be Used to Predict Allosteric Compounds?Journal of chemical information and modeling · 2025Article
- Ligand-Induced Biased Activation of GPCRs: Recent Advances and New Directions from In Silico Approaches.Molecules (Basel, Switzerland) · 2025Review
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Determining the three-dimensional structure of proteins in their native functional states has been a longstanding challenge in structural biology. While integrative structural biology has been the most effective way to get a high-accuracy structure of different conformations and mechanistic insights for larger proteins, advances in deep machine-learning algorithms have paved the way to fully computational predictions. In this field, AlphaFold2 (AF2) pioneered
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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.