These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
224 related articles for article (PubMed ID: 31323058)
1. Understanding the impacts of missense mutations on structures and functions of human cancer-related genes: A preliminary computational analysis of the COSMIC Cancer Gene Census. Malhotra S; Alsulami AF; Heiyun Y; Ochoa BM; Jubb H; Forbes S; Blundell TL PLoS One; 2019; 14(7):e0219935. PubMed ID: 31323058 [TBL] [Abstract][Full Text] [Related]
2. COSMIC Cancer Gene Census 3D database: understanding the impacts of mutations on cancer targets. Alsulami AF; Torres PHM; Moghul I; Arif SM; Chaplin AK; Vedithi SC; Blundell TL Brief Bioinform; 2021 Nov; 22(6):. PubMed ID: 34137435 [TBL] [Abstract][Full Text] [Related]
3. Prediction of impacts of mutations on protein structure and interactions: SDM, a statistical approach, and mCSM, using machine learning. Pandurangan AP; Blundell TL Protein Sci; 2020 Jan; 29(1):247-257. PubMed ID: 31693276 [TBL] [Abstract][Full Text] [Related]
4. Exome-Scale Discovery of Hotspot Mutation Regions in Human Cancer Using 3D Protein Structure. Tokheim C; Bhattacharya R; Niknafs N; Gygax DM; Kim R; Ryan M; Masica DL; Karchin R Cancer Res; 2016 Jul; 76(13):3719-31. PubMed ID: 27197156 [TBL] [Abstract][Full Text] [Related]
6. Comprehensive assessment of cancer missense mutation clustering in protein structures. Kamburov A; Lawrence MS; Polak P; Leshchiner I; Lage K; Golub TR; Lander ES; Getz G Proc Natl Acad Sci U S A; 2015 Oct; 112(40):E5486-95. PubMed ID: 26392535 [TBL] [Abstract][Full Text] [Related]
8. COSMIC (the Catalogue of Somatic Mutations in Cancer): a resource to investigate acquired mutations in human cancer. Forbes SA; Tang G; Bindal N; Bamford S; Dawson E; Cole C; Kok CY; Jia M; Ewing R; Menzies A; Teague JW; Stratton MR; Futreal PA Nucleic Acids Res; 2010 Jan; 38(Database issue):D652-7. PubMed ID: 19906727 [TBL] [Abstract][Full Text] [Related]
9. Structure-Based Analysis Reveals Cancer Missense Mutations Target Protein Interaction Interfaces. Engin HB; Kreisberg JF; Carter H PLoS One; 2016; 11(4):e0152929. PubMed ID: 27043210 [TBL] [Abstract][Full Text] [Related]
10. Computational Approaches to Prioritize Cancer Driver Missense Mutations. Zhao F; Zheng L; Goncearenco A; Panchenko AR; Li M Int J Mol Sci; 2018 Jul; 19(7):. PubMed ID: 30037003 [TBL] [Abstract][Full Text] [Related]
11. Predicting the functional consequences of somatic missense mutations found in tumors. Carter H; Karchin R Methods Mol Biol; 2014; 1101():135-59. PubMed ID: 24233781 [TBL] [Abstract][Full Text] [Related]
12. Assessment of computational methods for predicting the effects of missense mutations in human cancers. Gnad F; Baucom A; Mukhyala K; Manning G; Zhang Z BMC Genomics; 2013; 14 Suppl 3(Suppl 3):S7. PubMed ID: 23819521 [TBL] [Abstract][Full Text] [Related]
13. CRIMEtoYHU: a new web tool to develop yeast-based functional assays for characterizing cancer-associated missense variants. Mercatanti A; Lodovichi S; Cervelli T; Galli A FEMS Yeast Res; 2017 Dec; 17(8):. PubMed ID: 29069390 [TBL] [Abstract][Full Text] [Related]
14. Oncotator: cancer variant annotation tool. Ramos AH; Lichtenstein L; Gupta M; Lawrence MS; Pugh TJ; Saksena G; Meyerson M; Getz G Hum Mutat; 2015 Apr; 36(4):E2423-9. PubMed ID: 25703262 [TBL] [Abstract][Full Text] [Related]
15. Exploring preferred amino acid mutations in cancer genes: Applications to identify potential drug targets. Anoosha P; Sakthivel R; Michael Gromiha M Biochim Biophys Acta; 2016 Feb; 1862(2):155-65. PubMed ID: 26581171 [TBL] [Abstract][Full Text] [Related]
16. Identifying Driver Interfaces Enriched for Somatic Missense Mutations in Tumors. Ozturk K; Carter H Methods Mol Biol; 2019; 1907():51-72. PubMed ID: 30542990 [TBL] [Abstract][Full Text] [Related]
17. Standing in the canine precision medicine knowledge gap: Improving annotation of canine cancer genomic biomarkers through systematic comparative analysis of human cancer mutations in COSMIC. Sakthikumar S; Facista S; Whitley D; Byron SA; Ahmed Z; Warrier M; Zhu Z; Chon E; Banovich K; Haworth D; Hendricks WPD; Wang G Vet Comp Oncol; 2023 Sep; 21(3):482-491. PubMed ID: 37248814 [TBL] [Abstract][Full Text] [Related]
18. Protein dynamics analysis identifies candidate cancer driver genes and mutations in TCGA data. Sayılgan JF; Haliloğlu T; Gönen M Proteins; 2021 Jun; 89(6):721-730. PubMed ID: 33550612 [TBL] [Abstract][Full Text] [Related]
19. Systematic analysis of mutation distribution in three dimensional protein structures identifies cancer driver genes. Fujimoto A; Okada Y; Boroevich KA; Tsunoda T; Taniguchi H; Nakagawa H Sci Rep; 2016 May; 6():26483. PubMed ID: 27225414 [TBL] [Abstract][Full Text] [Related]