ArticleFrontiers in bioinformatics2022
Protein structure prediction in the era of AI: Challenges and limitations when applying to
Article in Frontiers in bioinformatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed, 35 citations in OpenAlex.
- Integrative structural interactomics reveals protein organization and structure in a giant virus.Nature communications · 2026Article
- Virtual cell: Current perspectives and future prospects.The Journal of international medical research · 2026Review
- Quantifying Ligand-to-Protein Distances in Complex Environments Using IntermolecularChembiochem : a European journal of chemical biology · 2026Article
- A Quantum Framework for Protein Binding-Site Structure Prediction on Utility-Level Quantum Processors.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- From Atoms to Cells: AI-Based Structure Prediction Fueling Molecular Dynamics Simulations in Computational Structural Biology.Advances in experimental medicine and biology · 2026Review
- UltrastrongScience advances · 2025Article
- Disruption of the β-catenin destruction complex via Ephexin1-Axin1 interaction promotes colorectal cancer proliferation.Experimental & molecular medicine · 2025Article
- Beyond AlphaFold2: The Impact of AI for the Further Improvement of Protein Structure Prediction.Methods in molecular biology (Clifton, N.J.) · 2025Review
- Cognitive Impact of Neurotropic Pathogens: Investigating Molecular Mimicry through Computational Methods.Cellular and molecular neurobiology · 2024Article
- Integrating Computational Design and Experimental Approaches for Next-Generation Biologics.Biomolecules · 2024Review
- The Applications of Artificial Intelligence (AI)-Driven Tools in Virus-Like Particles (VLPs) Research.Current microbiology · 2024Review
- Predictive Modeling of Proteins Encoded by a Plant Virus Sheds a New Light on Their Structure and Inherent Multifunctionality.Biomolecules · 2024Article
- A comprehensive review of artificial intelligence for pharmacology research.Frontiers in genetics · 2024Review
- SARS-CoV-2 proteins structural studies using synchrotron radiation.Biophysical reviews · 2023Review
- Fostering discoveries in the era of exascale computing: How the next generation of supercomputers empowers computational and experimental biophysics alike.Biophysical journal · 2023Review
- Using AlphaFold Predictions in Viral Research.Current issues in molecular biology · 2023Review
- May the force be with you: The role of hyper-mechanostability of the bone sialoprotein binding protein during early stages ofFrontiers in chemistry · 2023Article
- Advancements and Applications of Artificial Intelligence in Pharmaceutical Sciences: A Comprehensive Review.Iranian journal of pharmaceutical research : IJPRReview
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Mechanoactive proteins are essential for a myriad of physiological and pathological processes. Guided by the advances in single-molecule force spectroscopy (SMFS), we have reached a molecular-level understanding of how mechanoactive proteins sense and respond to mechanical forces. However, even SMFS has its limitations, including the lack of detailed structural information during force-loading experiments. That is where molecular dynamics (MD) methods shine, bringing atomistic details with femtosecond time-resolution. However, MD heavily relies on the availability of high-resolution structural data, which is not available for most proteins. For instance, the Protein Data Bank currently has 192K structures deposited, against 231M protein sequences available on Uniprot. But many are betting that this gap might become much smaller soon. Over the past year, the AI-based AlphaFold created a buzz on the structural biology field by being able to predict near-native protein folds from their sequences. For some, AlphaFold is causing the merge of structural biology with bioinformatics. Here, using an
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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.