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Main Author: Madawalagama, Erandi Prabashani
Format: Recurso digital
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Published: Zenodo 2024
Online Access:https://doi.org/10.5281/zenodo.14955109
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author Madawalagama, Erandi Prabashani
author_facet Madawalagama, Erandi Prabashani
contents <p><span><span>AlphaFold2, a deep neural network developed by Google </span><span>DeepMind</span><span>, revolutionized structural biology following its groundbreaking performance at the 2020 Critical Assessment of Structure Prediction (CASP) competition, where it achieved unprecedented near-experimental accuracy, significantly outperforming other computational models. This paper critically reviews AlphaFold2’s phased integration into protein science, evaluating its impact on three-dimensional protein structure prediction, its feasibility, and positioning within Gartner's Hype Cycle. Additionally, this review explores how AlphaFold2 accelerated artificial intelligence (AI)-driven protein structure prediction and highlights the potential of deep learning in scientific research. Finally, the future role of AlphaFold2 and its reception within the scientific community are considered.</span></span><span> </span></p>
format Recurso digital
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institution Zenodo
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publishDate 2024
publisher Zenodo
record_format zenodo
spellingShingle Adaptation of Google DeepMind AI AlphaFold2 in Single Protein 3D Structure Prediction: A Critical Review
Madawalagama, Erandi Prabashani
<p><span><span>AlphaFold2, a deep neural network developed by Google </span><span>DeepMind</span><span>, revolutionized structural biology following its groundbreaking performance at the 2020 Critical Assessment of Structure Prediction (CASP) competition, where it achieved unprecedented near-experimental accuracy, significantly outperforming other computational models. This paper critically reviews AlphaFold2’s phased integration into protein science, evaluating its impact on three-dimensional protein structure prediction, its feasibility, and positioning within Gartner's Hype Cycle. Additionally, this review explores how AlphaFold2 accelerated artificial intelligence (AI)-driven protein structure prediction and highlights the potential of deep learning in scientific research. Finally, the future role of AlphaFold2 and its reception within the scientific community are considered.</span></span><span> </span></p>
title Adaptation of Google DeepMind AI AlphaFold2 in Single Protein 3D Structure Prediction: A Critical Review
url https://doi.org/10.5281/zenodo.14955109