{"id":187669,"date":"2024-08-09T06:30:00","date_gmt":"2024-08-09T05:30:00","guid":{"rendered":"https:\/\/datascientest.com\/en\/?p=187669"},"modified":"2024-08-06T01:16:41","modified_gmt":"2024-08-06T00:16:41","slug":"all-baout-alphafold","status":"publish","type":"post","link":"https:\/\/datascientest.com\/en\/all-baout-alphafold","title":{"rendered":"What is AlphaFold?"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"187669\" class=\"elementor elementor-187669\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-5bd4eee e-flex e-con-boxed e-con\" data-id=\"5bd4eee\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-200f926 elementor-widget elementor-widget-heading\" data-id=\"200f926\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-heading-title{padding:0;margin:0;line-height:1}.elementor-widget-heading .elementor-heading-title[class*=elementor-size-]>a{color:inherit;font-size:inherit;line-height:inherit}.elementor-widget-heading .elementor-heading-title.elementor-size-small{font-size:15px}.elementor-widget-heading .elementor-heading-title.elementor-size-medium{font-size:19px}.elementor-widget-heading .elementor-heading-title.elementor-size-large{font-size:29px}.elementor-widget-heading .elementor-heading-title.elementor-size-xl{font-size:39px}.elementor-widget-heading .elementor-heading-title.elementor-size-xxl{font-size:59px}<\/style><p class=\"elementor-heading-title elementor-size-default\">Proteins are essential molecules for life, playing a crucial role in numerous biological processes. They are present in all living cells and perform a multitude of vital functions. Composed of amino acids, they fold into specific three-dimensional structures that determine their functions.<\/p>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a56e416 elementor-widget elementor-widget-text-editor\" data-id=\"a56e416\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-widget-text-editor.elementor-drop-cap-view-stacked .elementor-drop-cap{background-color:#69727d;color:#fff}.elementor-widget-text-editor.elementor-drop-cap-view-framed .elementor-drop-cap{color:#69727d;border:3px solid;background-color:transparent}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap{margin-top:8px}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap-letter{width:1em;height:1em}.elementor-widget-text-editor .elementor-drop-cap{float:left;text-align:center;line-height:1;font-size:50px}.elementor-widget-text-editor .elementor-drop-cap-letter{display:inline-block}<\/style>\t\t\t\t<p><span style=\"font-weight: 400;\">These complex structures enable proteins to interact with other molecules, catalyze chemical reactions, transmit cellular signals, and provide structural support to cells and tissues.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-bb9b808 elementor-widget elementor-widget-image\" data-id=\"bb9b808\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-widget-image{text-align:center}.elementor-widget-image a{display:inline-block}.elementor-widget-image a img[src$=\".svg\"]{width:48px}.elementor-widget-image img{vertical-align:middle;display:inline-block}<\/style>\t\t\t\t\t\t\t\t\t<figure class=\"wp-caption\">\n\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"418\" height=\"235\" src=\"https:\/\/datascientest.com\/en\/files\/2024\/07\/image1-4.png\" class=\"attachment-full size-full wp-image-187672\" alt=\"\" srcset=\"https:\/\/datascientest.com\/en\/files\/2024\/07\/image1-4.png 418w, https:\/\/datascientest.com\/en\/files\/2024\/07\/image1-4-300x169.png 300w\" sizes=\"(max-width: 418px) 100vw, 418px\" \/>\t\t\t\t\t\t\t\t\t\t\t<figcaption class=\"widget-image-caption wp-caption-text\">Source : <a href=\"https:\/\/deepmind.google\/discover\/blog\/a-glimpse-of-the-next-generation-of-alphafold\/\">A glimpse of the next generation of AlphaFold - Google DeepMind<\/a><\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c769e19 elementor-widget elementor-widget-text-editor\" data-id=\"c769e19\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">However, predicting the exact structure of a protein from its amino acid sequence has long been a significant challenge in biology and biochemistry. Understanding this structure is essential, as it facilitates better insight into the <\/span><b>mechanisms of protein action<\/b><span style=\"font-weight: 400;\"> and the development of strategies to modulate their function, which is crucial for creating new drugs and treatments.<\/span><\/p><p><span style=\"font-weight: 400;\">It is in this context that AlphaFold stands out as a revolutionary breakthrough in the <a href=\"https:\/\/datascientest.com\/en\/all-about-bioinformatics\">field of biology<\/a>.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-98b7162 e-flex e-con-boxed e-con\" data-id=\"98b7162\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-aefd243 elementor-widget elementor-widget-heading\" data-id=\"aefd243\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">What is AlphaFold?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7e53946 elementor-widget elementor-widget-text-editor\" data-id=\"7e53946\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">AlphaFold is an <a href=\"https:\/\/datascientest.com\/en\/artificial-intelligence-definition\">artificial intelligence (AI)<\/a> program created by <a href=\"https:\/\/datascientest.com\/en\/google-deepmind-creates-ai-that-revolutionizes-sorting-algorithms\">DeepMind<\/a>, a Google subsidiary specializing in deep learning. AlphaFold uses neural networks to accurately predict the <\/span><b>three-dimensional structure of proteins<\/b><span style=\"font-weight: 400;\"> from their amino acid sequences. This innovation has the potential to transform our <\/span><b>understanding of fundamental biological processes<\/b><span style=\"font-weight: 400;\"> and accelerate advances in medicine and biotechnology.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ad81048 elementor-align-center button-principal elementor-widget elementor-widget-button\" data-id=\"ad81048\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-md\" href=\"https:\/\/datascientest.com\/en\/machine-learning-engineer-course\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Become a Machine Learning Engineer<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-c526f38 e-flex e-con-boxed e-con\" data-id=\"c526f38\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-44f44a9 elementor-widget elementor-widget-heading\" data-id=\"44f44a9\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">The challenges of protein structure prediction<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-93b0c0f elementor-widget elementor-widget-text-editor\" data-id=\"93b0c0f\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Predicting protein structures represents a considerable challenge in molecular biology due to several complex factors.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-2faa383 elementor-widget elementor-widget-heading\" data-id=\"2faa383\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-medium\">1. Diversity of sequences and structures:<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b3057ff elementor-widget elementor-widget-text-editor\" data-id=\"b3057ff\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">To date, more than 200 million proteins are known, with more discovered each year. Each has a unique three-dimensional shape.<\/span><\/p><p><span style=\"font-weight: 400;\">Indeed, proteins are composed of 20 different types of <\/span><b>amino acids<\/b><span style=\"font-weight: 400;\">, arranged in sequences that vary in length and composition. This diversity generates a <\/span><b>multitude of possible three-dimensional structures<\/b><span style=\"font-weight: 400;\">, making accurate prediction extremely difficult.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b763263 elementor-widget elementor-widget-heading\" data-id=\"b763263\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-medium\">2. Limits of experimental methods:<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-9eddf69 elementor-widget elementor-widget-text-editor\" data-id=\"9eddf69\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Various experimental methods such as X-ray crystallography or <\/span><b>nuclear magnetic resonance (NMR)<\/b><span style=\"font-weight: 400;\"> are used to determine protein structures. These methods, however, are time-consuming, costly, and not always successful.<\/span><\/p><p><span style=\"font-weight: 400;\">Moreover, some proteins are challenging, if not impossible, to <\/span><b>obtain precise structural data for using traditional experimental methods<\/b><span style=\"font-weight: 400;\">. These include very large, very flexible, or those that do not easily crystallize.<\/span><\/p><p><span style=\"font-weight: 400;\">This is why, for decades, scientists have sought a method to reliably determine a protein&#8217;s structure from its amino acid sequence alone.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7580001 elementor-widget elementor-widget-image\" data-id=\"7580001\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"900\" height=\"514\" src=\"https:\/\/datascientest.com\/en\/files\/2024\/07\/alphafold-datascientest1.jpg\" class=\"attachment-full size-full wp-image-187682\" alt=\"\" srcset=\"https:\/\/datascientest.com\/en\/files\/2024\/07\/alphafold-datascientest1.jpg 900w, https:\/\/datascientest.com\/en\/files\/2024\/07\/alphafold-datascientest1-300x171.jpg 300w, https:\/\/datascientest.com\/en\/files\/2024\/07\/alphafold-datascientest1-768x439.jpg 768w\" sizes=\"(max-width: 900px) 100vw, 900px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-334f624 e-flex e-con-boxed e-con\" data-id=\"334f624\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-ed592c8 elementor-widget elementor-widget-heading\" data-id=\"ed592c8\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">The success of AlphaFold<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-097ded2 elementor-widget elementor-widget-text-editor\" data-id=\"097ded2\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">The <\/span><b>CASP (Critical Assessment of Structure Prediction)<\/b><span style=\"font-weight: 400;\"> competition is an event held every two years to evaluate methods for predicting protein three-dimensional structures.<\/span><\/p><p><span style=\"font-weight: 400;\">For this purpose, <\/span><b>newly experimentally determined protein structures<\/b><span style=\"font-weight: 400;\"> (but not yet published) are selected as targets. In the following weeks, participating teams must predict these protein structures using their methods. Then, the <\/span><b>predictions<\/b><span style=\"font-weight: 400;\"> are compared to the actual experimental structures to assess the accuracy of the different prediction methods.<\/span><\/p><p><span style=\"font-weight: 400;\">In 2018, <\/span><b>DeepMind<\/b><span style=\"font-weight: 400;\"> participated for the first time. From this session (<\/span><b>CASP13<\/b><span style=\"font-weight: 400;\">), AlphaFold proved to be more efficient than all its competitors.<\/span><\/p><p><span style=\"font-weight: 400;\">During <\/span><b>CASP14<\/b><span style=\"font-weight: 400;\"> in 2020, AlphaFold outperformed all other teams with unprecedented accuracy, achieving levels comparable to traditional experimental methods. This success was hailed as a <\/span><b>major breakthrough<\/b><span style=\"font-weight: 400;\"> in the field.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-46fa857 elementor-align-center button-principal elementor-widget elementor-widget-button\" data-id=\"46fa857\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-md\" href=\"https:\/\/datascientest.com\/en\/machine-learning-engineer-course\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Develop AI<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-7bc0968 e-flex e-con-boxed e-con\" data-id=\"7bc0968\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-4f5b675 elementor-widget elementor-widget-heading\" data-id=\"4f5b675\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">How does AlphaFold work?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-01f7ee7 elementor-widget elementor-widget-text-editor\" data-id=\"01f7ee7\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">AlphaFold uses a combination of <a href=\"https:\/\/datascientest.com\/en\/all-about-deep-learning\">deep learning techniques<\/a> and structural modeling to predict protein structures. Here are the main steps of the process:<\/span><\/p><ul><li><b>Data Input<\/b><span style=\"font-weight: 400;\">: The linear sequence of amino acids of the target protein is provided. AlphaFold generates multiple sequence alignments (MSA) to find similar sequences in protein databases, providing evolutionary information.<\/span><\/li><li><b>Modeling<\/b><span style=\"font-weight: 400;\">: AlphaFold uses deep learning models, including transformers, to analyze relationships between amino acids. Transformers can handle long-distance relationships in sequences, crucial for predicting interactions between residues that are distant in the linear sequence but close in the 3D structure.<\/span><\/li><li><b>Prediction of Distances and Angles<\/b><span style=\"font-weight: 400;\">: AlphaFold predicts distances between pairs of amino acids and angles of chemical bonds, helping to determine the protein&#8217;s 3D shape.<\/span><\/li><li><b>Structural Assembly<\/b><span style=\"font-weight: 400;\">: Using distance and angle predictions, AlphaFold assembles the protein&#8217;s three-dimensional structure by minimizing an energy function that penalizes unrealistic configurations.<\/span><\/li><li><b>Prediction Evaluation<\/b><span style=\"font-weight: 400;\">: The predicted structure is assessed for accuracy against available experimental data, and refinement techniques are used to improve the model&#8217;s quality.<\/span><\/li><\/ul>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-cfcfe5a elementor-widget elementor-widget-image\" data-id=\"cfcfe5a\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"900\" height=\"514\" src=\"https:\/\/datascientest.com\/en\/files\/2024\/07\/alphafold-datascientest2.jpg\" class=\"attachment-full size-full wp-image-187695\" alt=\"\" srcset=\"https:\/\/datascientest.com\/en\/files\/2024\/07\/alphafold-datascientest2.jpg 900w, https:\/\/datascientest.com\/en\/files\/2024\/07\/alphafold-datascientest2-300x171.jpg 300w, https:\/\/datascientest.com\/en\/files\/2024\/07\/alphafold-datascientest2-768x439.jpg 768w\" sizes=\"(max-width: 900px) 100vw, 900px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-bd4c3a1 e-flex e-con-boxed e-con\" data-id=\"bd4c3a1\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-d39de03 elementor-widget elementor-widget-heading\" data-id=\"d39de03\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Applications of AlphaFold<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c0c5c43 elementor-widget elementor-widget-text-editor\" data-id=\"c0c5c43\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">By enabling rapid and accurate prediction of protein structures, AlphaFold opens new avenues for biomedical and pharmaceutical research. For example:<\/span><\/p><ul><li style=\"font-weight: 400;\" aria-level=\"1\"><b>Drug Development:<\/b><span style=\"font-weight: 400;\"> Knowledge of protein structures facilitates the design of drugs targeting specific proteins involved in diseases.<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><b>Synthetic Biology:<\/b><span style=\"font-weight: 400;\"> Scientists can design new proteins with specific functions for industrial or environmental applications.<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><b>Fundamental Research:<\/b><span style=\"font-weight: 400;\"> Understanding protein structures helps elucidate underlying biological mechanisms and discover new therapeutic targets.<\/span><\/li><\/ul>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-e759b86 e-flex e-con-boxed e-con\" data-id=\"e759b86\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-d311ce9 elementor-widget elementor-widget-heading\" data-id=\"d311ce9\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Sharing via the AlphaFold database<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-2e0ac81 elementor-widget elementor-widget-text-editor\" data-id=\"2e0ac81\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">AlphaFold has committed to sharing their technology with the research community. To this end, DeepMind has established the <\/span><b>AlphaFold Protein Structure Database<\/b><span style=\"font-weight: 400;\"> based on AlphaFold&#8217;s predictions.<\/span><\/p><p><span style=\"font-weight: 400;\">This database is <\/span><b>freely available<\/b><span style=\"font-weight: 400;\">, allowing researchers worldwide to access and use this data for their research.<\/span><\/p><p><span style=\"font-weight: 400;\">It contains over <\/span><b>350,000 structures, including 20,000 known human proteins<\/b><span style=\"font-weight: 400;\">, as well as proteomes of other organisms significant for biological research, such as yeast and mice.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-5db5296 e-flex e-con-boxed e-con\" data-id=\"5db5296\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-e06c88c elementor-widget elementor-widget-heading\" data-id=\"e06c88c\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Conclusion<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6a951ec elementor-widget elementor-widget-text-editor\" data-id=\"6a951ec\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Thus, AlphaFold&#8217;s success in predicting protein structures illustrates the <\/span><b>revolutionary potential of artificial intelligence and deep learning<\/b><span style=\"font-weight: 400;\"> in scientific research.<\/span><\/p><p><span style=\"font-weight: 400;\">To learn more about deep learning technologies and training for careers in Data Science, <a href=\"https:\/\/datascientest.com\/en\/data-courses\">join DataScientest<\/a>.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-cf0619d elementor-align-center button-principal elementor-widget elementor-widget-button\" data-id=\"cf0619d\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-md\" href=\"https:\/\/datascientest.com\/en\/data-scientist-course\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Follow a Data Scientist course<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-c380e86 e-flex e-con-boxed e-con\" data-id=\"c380e86\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-d44b16c elementor-widget elementor-widget-html\" data-id=\"d44b16c\" data-element_type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<script type=\"application\/ld+json\">\r\n{\r\n  \"@context\": \"https:\/\/schema.org\",\r\n  \"@type\": \"FAQPage\",\r\n  \"mainEntity\": [{\r\n    \"@type\": \"Question\",\r\n    \"name\": \"What is AlphaFold?\",\r\n    \"acceptedAnswer\": {\r\n      \"@type\": \"Answer\",\r\n      \"text\": \"AlphaFold is an artificial intelligence program developed by DeepMind, a subsidiary of Google, designed to predict the three-dimensional structures of proteins from their amino acid sequences. 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These complex structures enable proteins to interact with other molecules, catalyze chemical reactions, [&hellip;]<\/p>\n","protected":false},"author":45,"featured_media":187671,"comment_status":"open","ping_status":"open","sticky":false,"template":"elementor_theme","format":"standard","meta":{"content-type":"","inline_featured_image":false},"categories":[2427],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v21.7 (Yoast SEO v21.7) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>What is AlphaFold?<\/title>\n<meta name=\"description\" content=\"AlphaFold is a revolutionary breakthrough in artificial intelligence developed by DeepMind that accurately predicts the three-dimensional structure of proteins from their amino acid sequence, thereby transforming research in biology and medicine.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/datascientest.com\/en\/all-baout-alphafold\" \/>\n<meta property=\"og:locale\" content=\"en_GB\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"What is AlphaFold?\" \/>\n<meta property=\"og:description\" content=\"Proteins are essential molecules for life, playing a crucial role in numerous biological processes. 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