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.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

232 related articles for article (PubMed ID: 32958805)

  • 21. Structural bioinformatics survey on disease-inducing missense mutations.
    Bongini P; Gardini S; Bianchini M; Spiga O; Niccolai N
    J Bioinform Comput Biol; 2021 Jun; 19(3):2150008. PubMed ID: 33888033
    [TBL] [Abstract][Full Text] [Related]  

  • 22. 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]  

  • 23. SIGMA leverages protein structural information to predict the pathogenicity of missense variants.
    Zhao H; Du H; Zhao S; Chen Z; Li Y; Xu K; Liu B; Cheng X; Wen W; Li G; Chen G; Zhao Z; Qiu G; ; Liu P; Zhang TJ; Wu Z; Wu N
    Cell Rep Methods; 2024 Jan; 4(1):100687. PubMed ID: 38211594
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Bayesian approach to discovering pathogenic SNPs in conserved protein domains.
    Cai Z; Tsung EF; Marinescu VD; Ramoni MF; Riva A; Kohane IS
    Hum Mutat; 2004 Aug; 24(2):178-84. PubMed ID: 15241800
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Genome-wide prediction of disease variant effects with a deep protein language model.
    Brandes N; Goldman G; Wang CH; Ye CJ; Ntranos V
    Nat Genet; 2023 Sep; 55(9):1512-1522. PubMed ID: 37563329
    [TBL] [Abstract][Full Text] [Related]  

  • 26. DisruPPI: structure-based computational redesign algorithm for protein binding disruption.
    Choi Y; Furlon JM; Amos RB; Griswold KE; Bailey-Kellogg C
    Bioinformatics; 2018 Jul; 34(13):i245-i253. PubMed ID: 29949961
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Machine learning classifier for identification of damaging missense mutations exclusive to human mitochondrial DNA-encoded polypeptides.
    Martín-Navarro A; Gaudioso-Simón A; Álvarez-Jarreta J; Montoya J; Mayordomo E; Ruiz-Pesini E
    BMC Bioinformatics; 2017 Mar; 18(1):158. PubMed ID: 28270093
    [TBL] [Abstract][Full Text] [Related]  

  • 28. What went wrong with variant effect predictor performance for the PCM1 challenge.
    Miller M; Wang Y; Bromberg Y
    Hum Mutat; 2019 Sep; 40(9):1486-1494. PubMed ID: 31268618
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Most Monogenic Disorders Are Caused by Mutations Altering Protein Folding Free Energy.
    Pandey P; Alexov E
    Int J Mol Sci; 2024 Feb; 25(4):. PubMed ID: 38396641
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Missense variant pathogenicity predictors generalize well across a range of function-specific prediction challenges.
    Pejaver V; Mooney SD; Radivojac P
    Hum Mutat; 2017 Sep; 38(9):1092-1108. PubMed ID: 28508593
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Mutation severity spectrum of rare alleles in the human genome is predictive of disease type.
    Pei J; Kinch LN; Otwinowski Z; Grishin NV
    PLoS Comput Biol; 2020 May; 16(5):e1007775. PubMed ID: 32413045
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Predicting changes in protein stability caused by mutation using sequence-and structure-based methods in a CAGI5 blind challenge.
    Strokach A; Corbi-Verge C; Kim PM
    Hum Mutat; 2019 Sep; 40(9):1414-1423. PubMed ID: 31243847
    [TBL] [Abstract][Full Text] [Related]  

  • 33. In silico analysis of missense mutations in exons 1-5 of the F9 gene that cause hemophilia B.
    Meléndez-Aranda L; Jaloma-Cruz AR; Pastor N; Romero-Prado MMJ
    BMC Bioinformatics; 2019 Jun; 20(1):363. PubMed ID: 31253089
    [TBL] [Abstract][Full Text] [Related]  

  • 34. In-silico Analysis of
    Accetturo M; Bartolomeo N; Stella A
    Int J Mol Sci; 2020 Jan; 21(3):. PubMed ID: 31979111
    [No Abstract]   [Full Text] [Related]  

  • 35. Curated multiple sequence alignment for the Adenomatous Polyposis Coli (APC) gene and accuracy of in silico pathogenicity predictions.
    Karabachev AD; Martini DJ; Hermel DJ; Solcz D; Richardson ME; Pesaran T; Sarkar IN; Greenblatt MS
    PLoS One; 2020; 15(8):e0233673. PubMed ID: 32750050
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Using SIFT and PolyPhen to predict loss-of-function and gain-of-function mutations.
    Flanagan SE; Patch AM; Ellard S
    Genet Test Mol Biomarkers; 2010 Aug; 14(4):533-7. PubMed ID: 20642364
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Pathogenic or not? And if so, then how? Studying the effects of missense mutations using bioinformatics methods.
    Thusberg J; Vihinen M
    Hum Mutat; 2009 May; 30(5):703-14. PubMed ID: 19267389
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Mutations Causing Mild or No Structural Damage in Interfaces of Multimerization of the Fibrinogen γ-Module More Likely Confer Negative Dominant Behaviors.
    Bellacchio E
    Int J Mol Sci; 2020 Nov; 21(23):. PubMed ID: 33260935
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Compensated pathogenic deviations: analysis of structural effects.
    Baresić A; Hopcroft LE; Rogers HH; Hurst JM; Martin AC
    J Mol Biol; 2010 Feb; 396(1):19-30. PubMed ID: 19900462
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Structure-based prediction of the effects of a missense variant on protein stability.
    Yang Y; Chen B; Tan G; Vihinen M; Shen B
    Amino Acids; 2013 Mar; 44(3):847-55. PubMed ID: 23064876
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 12.