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 *

117 related articles for article (PubMed ID: 27153720)

  • 1. PON-Sol: prediction of effects of amino acid substitutions on protein solubility.
    Yang Y; Niroula A; Shen B; Vihinen M
    Bioinformatics; 2016 Jul; 32(13):2032-4. PubMed ID: 27153720
    [TBL] [Abstract][Full Text] [Related]  

  • 2. PON-P2: prediction method for fast and reliable identification of harmful variants.
    Niroula A; Urolagin S; Vihinen M
    PLoS One; 2015; 10(2):e0117380. PubMed ID: 25647319
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Classification of Amino Acid Substitutions in Mismatch Repair Proteins Using PON-MMR2.
    Niroula A; Vihinen M
    Hum Mutat; 2015 Dec; 36(12):1128-34. PubMed ID: 26333163
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Performance of protein disorder prediction programs on amino acid substitutions.
    Ali H; Urolagin S; Gurarslan Ö; Vihinen M
    Hum Mutat; 2014 Jul; 35(7):794-804. PubMed ID: 24753228
    [TBL] [Abstract][Full Text] [Related]  

  • 5. PON-Sol2: Prediction of Effects of Variants on Protein Solubility.
    Yang Y; Zeng L; Vihinen M
    Int J Mol Sci; 2021 Jul; 22(15):. PubMed ID: 34360790
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Variation benchmark datasets: update, criteria, quality and applications.
    Sarkar A; Yang Y; Vihinen M
    Database (Oxford); 2020 Jan; 2020():. PubMed ID: 32016318
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Predicting Severity of Disease-Causing Variants.
    Niroula A; Vihinen M
    Hum Mutat; 2017 Apr; 38(4):357-364. PubMed ID: 28070986
    [TBL] [Abstract][Full Text] [Related]  

  • 8. PON-All: Amino Acid Substitution Tolerance Predictor for All Organisms.
    Yang Y; Shao A; Vihinen M
    Front Mol Biosci; 2022; 9():867572. PubMed ID: 35782867
    [TBL] [Abstract][Full Text] [Related]  

  • 9. PaRSnIP: sequence-based protein solubility prediction using gradient boosting machine.
    Rawi R; Mall R; Kunji K; Shen CH; Kwong PD; Chuang GY
    Bioinformatics; 2018 Apr; 34(7):1092-1098. PubMed ID: 29069295
    [TBL] [Abstract][Full Text] [Related]  

  • 10. PON-Fold: Prediction of Substitutions Affecting Protein Folding Rate.
    Yang Y; Chong Z; Vihinen M
    Int J Mol Sci; 2023 Aug; 24(16):. PubMed ID: 37629203
    [TBL] [Abstract][Full Text] [Related]  

  • 11. SOLart: a structure-based method to predict protein solubility and aggregation.
    Hou Q; Kwasigroch JM; Rooman M; Pucci F
    Bioinformatics; 2020 Mar; 36(5):1445-1452. PubMed ID: 31603466
    [TBL] [Abstract][Full Text] [Related]  

  • 12. VariBench: a benchmark database for variations.
    Sasidharan Nair P; Vihinen M
    Hum Mutat; 2013 Jan; 34(1):42-9. PubMed ID: 22903802
    [TBL] [Abstract][Full Text] [Related]  

  • 13. PON-SC - program for identifying steric clashes caused by amino acid substitutions.
    Čalyševa J; Vihinen M
    BMC Bioinformatics; 2017 Nov; 18(1):531. PubMed ID: 29187139
    [TBL] [Abstract][Full Text] [Related]  

  • 14. PROVEAN web server: a tool to predict the functional effect of amino acid substitutions and indels.
    Choi Y; Chan AP
    Bioinformatics; 2015 Aug; 31(16):2745-7. PubMed ID: 25851949
    [TBL] [Abstract][Full Text] [Related]  

  • 15. The Complementarity Between Protein-Specific and General Pathogenicity Predictors for Amino Acid Substitutions.
    Riera C; Padilla N; de la Cruz X
    Hum Mutat; 2016 Oct; 37(10):1013-24. PubMed ID: 27397615
    [TBL] [Abstract][Full Text] [Related]  

  • 16. DeepSol: a deep learning framework for sequence-based protein solubility prediction.
    Khurana S; Rawi R; Kunji K; Chuang GY; Bensmail H; Mall R
    Bioinformatics; 2018 Aug; 34(15):2605-2613. PubMed ID: 29554211
    [TBL] [Abstract][Full Text] [Related]  

  • 17. ccSOL omics: a webserver for solubility prediction of endogenous and heterologous expression in Escherichia coli.
    Agostini F; Cirillo D; Livi CM; Delli Ponti R; Tartaglia GG
    Bioinformatics; 2014 Oct; 30(20):2975-7. PubMed ID: 24990610
    [TBL] [Abstract][Full Text] [Related]  

  • 18. PON-mt-tRNA: a multifactorial probability-based method for classification of mitochondrial tRNA variations.
    Niroula A; Vihinen M
    Nucleic Acids Res; 2016 Mar; 44(5):2020-7. PubMed ID: 26843426
    [TBL] [Abstract][Full Text] [Related]  

  • 19. PON-tstab: Protein Variant Stability Predictor. Importance of Training Data Quality.
    Yang Y; Urolagin S; Niroula A; Ding X; Shen B; Vihinen M
    Int J Mol Sci; 2018 Mar; 19(4):. PubMed ID: 29597263
    [TBL] [Abstract][Full Text] [Related]  

  • 20. N- and C-Terminal Truncations to Enhance Protein Solubility and Crystallization: Predicting Protein Domain Boundaries with Bioinformatics Tools.
    Cooper CDO; Marsden BD
    Methods Mol Biol; 2017; 1586():11-31. PubMed ID: 28470596
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.