COSMIC Cancer Gene Census 3D database : understanding the impacts of mutations on cancer targets
© The Author(s) 2021. Published by Oxford University Press..
Mutations in hallmark genes are believed to be the main drivers of cancer progression. These mutations are reported in the Catalogue of Somatic Mutations in Cancer (COSMIC). Structural appreciation of where these mutations appear, in protein-protein interfaces, active sites or deoxyribonucleic acid (DNA) interfaces, and predicting the impacts of these mutations using a variety of computational tools are crucial for successful drug discovery and development. Currently, there are 723 genes presented in the COSMIC Cancer Gene Census. Due to the complexity of the gene products, structures of only 87 genes have been solved experimentally with structural coverage between 90% and 100%. Here, we present a comprehensive, user-friendly, web interface (https://cancer-3d.com/) of 714 modelled cancer-related genes, including homo-oligomers, hetero-oligomers, transmembrane proteins and complexes with DNA, ribonucleic acid, ligands and co-factors. Using SDM and mCSM software, we have predicted the impacts of reported mutations on protein stability, protein-protein interfaces affinity and protein-nucleic acid complexes affinity. Furthermore, we also predicted intrinsically disordered regions using DISOPRED3.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2021 |
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| Erschienen: |
2021 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:22 |
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| Enthalten in: |
Briefings in bioinformatics - 22(2021), 6 vom: 05. Nov. |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Alsulami, Ali F [VerfasserIn] |
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| Links: |
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| Themen: |
Biomarkers, Tumor |
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| Anmerkungen: |
Date Completed 11.03.2022 Date Revised 14.02.2024 published: Print Citation Status MEDLINE |
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| doi: |
10.1093/bib/bbab220 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| 520 | |a © The Author(s) 2021. Published by Oxford University Press. | ||
| 520 | |a Mutations in hallmark genes are believed to be the main drivers of cancer progression. These mutations are reported in the Catalogue of Somatic Mutations in Cancer (COSMIC). Structural appreciation of where these mutations appear, in protein-protein interfaces, active sites or deoxyribonucleic acid (DNA) interfaces, and predicting the impacts of these mutations using a variety of computational tools are crucial for successful drug discovery and development. Currently, there are 723 genes presented in the COSMIC Cancer Gene Census. Due to the complexity of the gene products, structures of only 87 genes have been solved experimentally with structural coverage between 90% and 100%. Here, we present a comprehensive, user-friendly, web interface (https://cancer-3d.com/) of 714 modelled cancer-related genes, including homo-oligomers, hetero-oligomers, transmembrane proteins and complexes with DNA, ribonucleic acid, ligands and co-factors. Using SDM and mCSM software, we have predicted the impacts of reported mutations on protein stability, protein-protein interfaces affinity and protein-nucleic acid complexes affinity. Furthermore, we also predicted intrinsically disordered regions using DISOPRED3 | ||
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| 650 | 4 | |a modelling cancer genes census | |
| 650 | 4 | |a mutational analyses of cancer drug targets | |
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| 700 | 1 | |a Torres, Pedro H M |e verfasserin |4 aut | |
| 700 | 1 | |a Moghul, Ismail |e verfasserin |4 aut | |
| 700 | 1 | |a Arif, Sheikh Mohammed |e verfasserin |4 aut | |
| 700 | 1 | |a Chaplin, Amanda K |e verfasserin |4 aut | |
| 700 | 1 | |a Vedithi, Sundeep Chaitanya |e verfasserin |4 aut | |
| 700 | 1 | |a Blundell, Tom L |e verfasserin |4 aut | |
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