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Deepmind Technologies Ltd ai program alphafold2
Ai Program Alphafold2, supplied by Deepmind Technologies Ltd, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/alphafold2+program/alphafold/pm38924572-15-22-5
Average 90 stars, based on 1 article reviews
ai program alphafold2 - by Bioz Stars, 2026-09
90/100 stars

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Article Title: Deep Learning and Experimental Validation of BRCA1-Associated Protein-1 Missense Variant Pathogenicity in Uveal Melanoma
Article Snippet: AlphaFold is a deep learning model developed by DeepMind that accurately predicts protein three-dimensional structures from amino acid sequences; its creators were awarded the 2024 Nobel Prize in Chemistry for this breakthrough.

Article Title: Research progress on the Sonic Hedgehog signaling pathway in the central nervous system: Novel insights
Article Snippet: Developed by DeepMind, AlphaFold represents a groundbreaking artificial intelligence system for predicting protein conformations (Omran et al., 2022; Abramson et al., 2024).

Article Title: Decoding the genetic basis of demyelination: Prediction of potential pathogenic coding and regulatory noncoding MBP SNPs in multiple sclerosis
Article Snippet: We used AlphaFold ( https://alphafold.ebi.ac.uk ,), an advanced artificial intelligence system developed by Google DeepMind, to predict the three-dimensional structure of the MBP.

Article Title: Advancing Drug Discovery with AI: Machine and Deep Learning Strategies for Target Identification and Precision Nanomedicine
Article Snippet: AI-Powered Protein Structure Prediction , Predict protein structures using DL algorithms , DeepMind’s AlphaFold , Utilizes DL techniques for accurate protein folding predictions, aiding in understanding protein-ligand interactions , [ ] .

Article Title: Advancing Drug Discovery with AI: Machine and Deep Learning Strategies for Target Identification and Precision Nanomedicine
Article Snippet: AlphaFold, developed by DeepMind, has demonstrated unparalleled accuracy in structure prediction, particularly in the CASP13 and CASP14 challenges, using the Evoformer module and evolutionary data.

Article Title: Artificial intelligence driven protein design and sustainable nanomedicine for advanced theranostics
Article Snippet: AlphaFold, developed by Google DeepMind, demonstrates remarkable success in predicting the 3D structures of proteins based on their amino acid sequences.

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Article Title: Activation of the olfactory receptors OR7D2 and OR10A4 by natural odorants modulates inflammatory responses in human keratinocytes.
Article Snippet: Olfactory receptors (ORs) are increasingly being recognized for their ectopic functions beyond olfaction, including roles in skin.. Keratinocytes, the predominant cell type in the epidermis, not only provide structural integrity but also regulate inflammatory responses through activation of the nuclear factor kappa B (NF-κB) signaling pathway, which controls the expression of pro-inflammatory cytokines such as interleukin-1 beta (IL1β), IL-6, and IL-8.. In this study, we investigated the role of ectopically expressed ORs in keratinocyte inflammation.

Article Title: Melatonin ameliorates circadian rhythm disruption induced erectile dysfunction by inhibiting oxidative stress mediated pyroptosis via Nrf2/HO‑1 axis.
Article Snippet: .. The predicted protein structures were generated using AlphaFold (https://deepmind.google/technologies/alphafold/). .. Both struc‐ tures were subsequently prepared with AutoDockTools‐1.5.7 (https://autodock.scripps.edu), including manual removal of water molecules, addition of hydrogens, and other structural refinements.



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Relevant hits from <t> AlphaFold2 </t> predicted structures of Deep-Blue and Vp4 tail proteins submitted to the Dali server to retrieve related structures
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Relevant hits from  AlphaFold2  predicted structures of Deep-Blue and Vp4 tail proteins submitted to the Dali server to retrieve related structures

Journal: Journal of Virology

Article Title: Deciphering the adsorption machinery of Deep-Blue and Vp4, two myophages targeting members of the Bacillus cereus group

doi: 10.1128/jvi.00745-24

Figure Lengend Snippet: Relevant hits from AlphaFold2 predicted structures of Deep-Blue and Vp4 tail proteins submitted to the Dali server to retrieve related structures

Article Snippet: Recently, the DeepMind’s machine-learning protein structure prediction program AlphaFold2 (AF2) ( ) has been proven to be extremely valuable in obtaining structures of phage tail proteins and of their complexes, as exemplified by the baseplate structure predictions of a few siphophages ( ).

Techniques: Injection, Membrane