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Deepmind Technologies Ltd program alphafold2
Program Alphafold2, supplied by Deepmind Technologies Ltd, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Average 86 stars, based on 1 article reviews
program alphafold2 - by Bioz Stars, 2026-09
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Binding Assay:

Article Title: Open data and algorithms for open science in AI-driven molecular informatics.
Article Snippet: .. Wehrspan ZJ, McDonnell RT, Elcock AH: Identification of ironsulfur (Fe-S) cluster and zinc (Zn) binding sites within proteomes predicted by DeepMind’s AlphaFold2 program dramatically expands the metalloproteome. ..

other:

Article Title: Novel MFSD7-ATP5I fusion promotes migration and invasion of human sarcoma.
Article Snippet: Funding information National Research Foundation of Korea, Grant/Award Number: 2021R1A2B5B02086271 Abstract Fusion genes have been implicated in the development and progression of several types of sarcomas, serving as valuable diagnostic and prognostic markers, as well as potential therapeutic targets.. We discovered a novel major facilitator superfamily domain‐containing 7 (MFSD7) and adenosine triphosphate 5I (ATP5I) gene fusion from sarcomas.. In this study, the MFSD7‐ATP5I fusion transcript was screened using RNA sequencing in 55 sarcoma samples and sixteen normal samples.

Article Title: IgSF11-RAP1 signaling promotes cell migration and invasion of cutaneous melanoma.
Article Snippet: The prediction of protein structure was conducted using the AlphaFold2 program (v.2.3.2; DeepMind Technologies, London, UK), and the resulting visualizations were rendered using PyMol v.2.4.2. (Schrödinger, Inc., New York, NY, USA).

Control:

Article Title: Collagen-binding bone morphogenetic protein-2 designed for use in bone tissue engineering.
Article Snippet: .. 3D structures of the chimeric (CBD-BMP2 and BMP2CBD) and control (CBD and BMP2) proteins were computationally predicted using the AlphaFold2 program (open-source code at https://github.com/ deepmind/alphafold). ..



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Image Search Results


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