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 *

174 related articles for article (PubMed ID: 32756481)

  • 21. Insights into protein-protein binding by binding free energy calculation and free energy decomposition for the Ras-Raf and Ras-RalGDS complexes.
    Gohlke H; Kiel C; Case DA
    J Mol Biol; 2003 Jul; 330(4):891-913. PubMed ID: 12850155
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Computational Prediction of RNA-Binding Proteins and Binding Sites.
    Si J; Cui J; Cheng J; Wu R
    Int J Mol Sci; 2015 Nov; 16(11):26303-17. PubMed ID: 26540053
    [TBL] [Abstract][Full Text] [Related]  

  • 23. 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]  

  • 24. Computational Prediction of RNA-Protein Interactions.
    Mann CM; Muppirala UK; Dobbs D
    Methods Mol Biol; 2017; 1543():169-185. PubMed ID: 28349426
    [TBL] [Abstract][Full Text] [Related]  

  • 25. In silico identification of significant detrimental missense mutations of EGFR and their effect with 4-anilinoquinazoline-based drugs.
    Rajasekaran R; Sethumadhavan R
    Appl Biochem Biotechnol; 2010 Mar; 160(6):1723-33. PubMed ID: 19455431
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Annotating Mutational Effects on Proteins and Protein Interactions: Designing Novel and Revisiting Existing Protocols.
    Li M; Goncearenco A; Panchenko AR
    Methods Mol Biol; 2017; 1550():235-260. PubMed ID: 28188534
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Predicting RNA-binding sites in proteins using the interaction propensity of amino acid triplets.
    Yun MR; Byun Y; Han K
    Protein Pept Lett; 2010 Sep; 17(9):1102-10. PubMed ID: 20509851
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Predicting protein-binding RNA nucleotides using the feature-based removal of data redundancy and the interaction propensity of nucleotide triplets.
    Choi S; Han K
    Comput Biol Med; 2013 Nov; 43(11):1687-97. PubMed ID: 24209914
    [TBL] [Abstract][Full Text] [Related]  

  • 29. emPDBA: protein-DNA binding affinity prediction by combining features from binding partners and interface learned with ensemble regression model.
    Yang S; Gong W; Zhou T; Sun X; Chen L; Zhou W; Li C
    Brief Bioinform; 2023 Jul; 24(4):. PubMed ID: 37193676
    [TBL] [Abstract][Full Text] [Related]  

  • 30. 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]  

  • 31. SFPEL-LPI: Sequence-based feature projection ensemble learning for predicting LncRNA-protein interactions.
    Zhang W; Yue X; Tang G; Wu W; Huang F; Zhang X
    PLoS Comput Biol; 2018 Dec; 14(12):e1006616. PubMed ID: 30533006
    [TBL] [Abstract][Full Text] [Related]  

  • 32. switchSENSE: A new technology to study protein-RNA interactions.
    Cléry A; Sohier TJM; Welte T; Langer A; Allain FHT
    Methods; 2017 Apr; 118-119():137-145. PubMed ID: 28286323
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Relative Binding Affinity Prediction of Charge-Changing Sequence Mutations with FEP in Protein-Protein Interfaces.
    Clark AJ; Negron C; Hauser K; Sun M; Wang L; Abel R; Friesner RA
    J Mol Biol; 2019 Mar; 431(7):1481-1493. PubMed ID: 30776430
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Exploring the charge space of protein-protein association: a proteomic study.
    Shaul Y; Schreiber G
    Proteins; 2005 Aug; 60(3):341-52. PubMed ID: 15887221
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Predicting the Effect of Mutations on Protein-Protein Binding Interactions through Structure-Based Interface Profiles.
    Brender JR; Zhang Y
    PLoS Comput Biol; 2015 Oct; 11(10):e1004494. PubMed ID: 26506533
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Structural and functional impact of missense mutations in TPMT: An integrated computational approach.
    Fazel-Najafabadi E; Vahdat Ahar E; Fattahpour S; Sedghi M
    Comput Biol Chem; 2015 Dec; 59 Pt A():48-55. PubMed ID: 26410243
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Investigating the binding specificity of U1A-RNA by computational mutagenesis.
    Reyes CM; Kollman PA
    J Mol Biol; 2000 Jan; 295(1):1-6. PubMed ID: 10623503
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Computational modeling of protein-RNA complex structures.
    Tuszynska I; Matelska D; Magnus M; Chojnowski G; Kasprzak JM; Kozlowski LP; Dunin-Horkawicz S; Bujnicki JM
    Methods; 2014 Feb; 65(3):310-9. PubMed ID: 24083976
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Integrating thermodynamic and sequence contexts improves protein-RNA binding prediction.
    Su Y; Luo Y; Zhao X; Liu Y; Peng J
    PLoS Comput Biol; 2019 Sep; 15(9):e1007283. PubMed ID: 31483777
    [TBL] [Abstract][Full Text] [Related]  

  • 40. DynaMut2: Assessing changes in stability and flexibility upon single and multiple point missense mutations.
    Rodrigues CHM; Pires DEV; Ascher DB
    Protein Sci; 2021 Jan; 30(1):60-69. PubMed ID: 32881105
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 9.