{"id":98667,"date":"2024-09-26T15:58:31","date_gmt":"2024-09-26T13:58:31","guid":{"rendered":"https:\/\/www.pcb.ub.edu\/a-computational-tool-identifies-more-than-32000-points-of-pharmacological-interest-in-the-human-proteome\/"},"modified":"2024-09-30T16:59:59","modified_gmt":"2024-09-30T14:59:59","slug":"a-computational-tool-identifies-more-than-32000-points-of-pharmacological-interest-in-the-human-proteome","status":"publish","type":"post","link":"https:\/\/www.pcb.ub.edu\/en\/a-computational-tool-identifies-more-than-32000-points-of-pharmacological-interest-in-the-human-proteome\/","title":{"rendered":"A tool identifies more than 32,000 points of pharmacological interest in the human proteome"},"content":{"rendered":"

Scientists at IRB Barcelona<\/a>, based in the Barcelona Science Park, have develop PocketVec, an innovative method to detect and characterise pharmacologically targetable sites in human proteins, an unprecedented resource for the scientific community. By mapping more than 32,000 binding sites in 20,000 protein domains, this work -published in Nature Communications offers an integral perspective, going beyond simple genetic sequencing to focus on molecular interactions, which could be used for drug development.<\/strong><\/p>\n

The identification of pharmacologically actionable sites has long been a challenge in biomedical research. Traditionally, the characterisation of these sites has relied on costly and time-consuming experimental techniques, such as X-ray crystallography and Nuclear Magnetic Resonance (NMR).<\/p>\n

Scientists led by\u00a0Dr. Patrick Aloy<\/strong>, ICREA researcher at IRB Barcelona, have developed a computational tool called PocketVec that allows the identification and characterisation of binding sites in human proteins. These sites, known as “pharmacologically actionable pockets,” are key areas in proteins where small molecules can bind and modulate their function, which is crucial in the design of new drugs. This study represents a significant advance in bioinformatics applied to drug discovery.<\/p>\n

PocketVec uses an innovative approach based on the “inverse virtual screening” of small molecules to generate vectorial descriptors of protein binding sites, thereby facilitating large-scale comparisons and analysis. These descriptors allow the identification of similarities between pockets that cannot be detected using comparisons based solely on sequence or structure, opening up new opportunities for drug discovery. Furthermore, by using both experimental protein structures and predictive models generated with the tool AlphaFold2, the researchers have been able to identify pockets in proteins that have not been analysed previously.<\/p>\n

\"\"<\/p>\n

“PocketVec overcomes some of the most significant limitations of existing tools, allowing us to analyse more than 32,000 binding sites in the human proteome. In addition, the descriptor generated could be key for training machine learning models, which would open up new opportunities for drug discovery,” explains\u00a0Dr. Aloy<\/strong>, head of the\u00a0Structural Bioinformatics and Network Biology lab<\/a>\u00a0at IRB Barcelona.<\/p>\n

The researchers hope that PocketVec will be widely adopted in studies devoted to chemical biology and pharmacology. “Our focus could change how we prioritise objectives for the development of new drugs, as it significantly widens the human pharmacological space, revealing pockets of proteins previously not considered to be pharmacologically actionable,” says\u00a0Arnau Comajuncosa-Creus<\/strong>, first author of the study and PhD student in the same laboratory.<\/p>\n

The tool is open access and is available here: https:\/\/gitlabsbnb.irbbarcelona.org\/acomajuncosa\/pocketvec<\/a><\/p>\n

\u00bb For further information: IRB Barcelona website [+]<\/a><\/strong><\/p>\n

\u00bb Reference article:<\/strong>\u00a0Comajuncosa-Creus, A., Jorba, G., Barril, X.\u00a0et al.<\/i>\u00a0Comprehensive detection and characterization of human druggable pockets through binding site descriptors.\u00a0Nat Commun\u00a015<\/b>, 7917 (2024).\u00a0DOI:\u00a010.1038\/s41467-024-52146-3\u00a0<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

Scientists at IRB Barcelona, based in the Barcelona Science Park, have develop PocketVec, an innovative method to detect and characterise pharmacologically targetable sites in human proteins, an unprecedented resource for…<\/p>\n","protected":false},"author":14,"featured_media":98650,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"categories":[36],"tags":[],"class_list":["post-98667","post","type-post","status-publish","format-standard","has-post-thumbnail","category-science"],"acf":[],"yoast_head":"\nA tool identifies more than 32,000 points of pharmacological interest in the human proteome - Parc Cient\u00edfic de Barcelona<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.pcb.ub.edu\/en\/a-computational-tool-identifies-more-than-32000-points-of-pharmacological-interest-in-the-human-proteome\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"A tool identifies more than 32,000 points of pharmacological interest in the human proteome - 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