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 *

194 related articles for article (PubMed ID: 37786533)

  • 1. Investigating the conformational landscape of AlphaFold2-predicted protein kinase structures.
    Al-Masri C; Trozzi F; Lin SH; Tran O; Sahni N; Patek M; Cichonska A; Ravikumar B; Rahman R
    Bioinform Adv; 2023; 3(1):vbad129. PubMed ID: 37786533
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Exploring the Druggable Conformational Space of Protein Kinases Using AI-Generated Structures.
    Herrington NB; Stein D; Li YC; Pandey G; Schlessinger A
    bioRxiv; 2023 Sep; ():. PubMed ID: 37693436
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Integration of a Randomized Sequence Scanning Approach in AlphaFold2 and Local Frustration Profiling of Conformational States Enable Interpretable Atomistic Characterization of Conformational Ensembles and Detection of Hidden Allosteric States in the ABL1 Protein Kinase.
    Raisinghani N; Alshahrani M; Gupta G; Tian H; Xiao S; Tao P; Verkhivker GM
    J Chem Theory Comput; 2024 Jun; 20(12):5317-5336. PubMed ID: 38865109
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Interpretable Atomistic Prediction and Functional Analysis of Conformational Ensembles and Allosteric States in Protein Kinases Using AlphaFold2 Adaptation with Randomized Sequence Scanning and Local Frustration Profiling.
    Raisinghani N; Alshahrani M; Gupta G; Tian H; Xiao S; Tao P; Verkhivker G
    bioRxiv; 2024 Feb; ():. PubMed ID: 38496487
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Empowering AlphaFold2 for protein conformation selective drug discovery with AlphaFold2-RAVE.
    Gu X; Aranganathan A; Tiwary P
    ArXiv; 2024 Jul; ():. PubMed ID: 38659642
    [TBL] [Abstract][Full Text] [Related]  

  • 6. AlphaFold2 captures the conformational landscape of the HAMP signaling domain.
    Winski A; Ludwiczak J; Orlowska M; Madaj R; Kaminski K; Dunin-Horkawicz S
    Protein Sci; 2024 Jan; 33(1):e4846. PubMed ID: 38010737
    [TBL] [Abstract][Full Text] [Related]  

  • 7. SPEACH_AF: Sampling protein ensembles and conformational heterogeneity with Alphafold2.
    Stein RA; Mchaourab HS
    PLoS Comput Biol; 2022 Aug; 18(8):e1010483. PubMed ID: 35994486
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Prediction of Conformational Ensembles and Structural Effects of State-Switching Allosteric Mutants in the Protein Kinases Using Comparative Analysis of AlphaFold2 Adaptations with Sequence Masking and Shallow Subsampling.
    Raisinghani N; Alshahrani M; Gupta G; Tian H; Xiao S; Tao P; Verkhivker G
    bioRxiv; 2024 May; ():. PubMed ID: 38798650
    [TBL] [Abstract][Full Text] [Related]  

  • 9. AlphaFold2 and Deep Learning for Elucidating Enzyme Conformational Flexibility and Its Application for Design.
    Casadevall G; Duran C; Osuna S
    JACS Au; 2023 Jun; 3(6):1554-1562. PubMed ID: 37388680
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Exploring Kinase Asp-Phe-Gly (DFG) Loop Conformational Stability with AlphaFold2-RAVE.
    Vani BP; Aranganathan A; Tiwary P
    J Chem Inf Model; 2024 Apr; 64(7):2789-2797. PubMed ID: 37981824
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Estimating conformational heterogeneity of tryptophan synthase with a template-based Alphafold2 approach.
    Casadevall G; Duran C; Estévez-Gay M; Osuna S
    Protein Sci; 2022 Oct; 31(10):e4426. PubMed ID: 36173176
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Sampling alternative conformational states of transporters and receptors with AlphaFold2.
    Del Alamo D; Sala D; Mchaourab HS; Meiler J
    Elife; 2022 Mar; 11():. PubMed ID: 35238773
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Exploring kinase DFG loop conformational stability with AlphaFold2-RAVE.
    Vani BP; Aranganathan A; Tiwary P
    ArXiv; 2023 Sep; ():. PubMed ID: 37731662
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Highly significant improvement of protein sequence alignments with AlphaFold2.
    Baltzis A; Mansouri L; Jin S; Langer BE; Erb I; Notredame C
    Bioinformatics; 2022 Nov; 38(22):5007-5011. PubMed ID: 36130276
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Classifying kinase conformations using a machine learning approach.
    McSkimming DI; Rasheed K; Kannan N
    BMC Bioinformatics; 2017 Feb; 18(1):86. PubMed ID: 28152981
    [TBL] [Abstract][Full Text] [Related]  

  • 16. AlphaFold2 structures template ligand discovery.
    Lyu J; Kapolka N; Gumpper R; Alon A; Wang L; Jain MK; Barros-Álvarez X; Sakamoto K; Kim Y; DiBerto J; Kim K; Tummino TA; Huang S; Irwin JJ; Tarkhanova OO; Moroz Y; Skiniotis G; Kruse AC; Shoichet BK; Roth BL
    bioRxiv; 2024 Mar; ():. PubMed ID: 38187536
    [TBL] [Abstract][Full Text] [Related]  

  • 17. DFGmodel: predicting protein kinase structures in inactive states for structure-based discovery of type-II inhibitors.
    Ung PM; Schlessinger A
    ACS Chem Biol; 2015 Jan; 10(1):269-78. PubMed ID: 25420233
    [TBL] [Abstract][Full Text] [Related]  

  • 18. AlphaFold2 structures guide prospective ligand discovery.
    Lyu J; Kapolka N; Gumpper R; Alon A; Wang L; Jain MK; Barros-Álvarez X; Sakamoto K; Kim Y; DiBerto J; Kim K; Glenn IS; Tummino TA; Huang S; Irwin JJ; Tarkhanova OO; Moroz Y; Skiniotis G; Kruse AC; Shoichet BK; Roth BL
    Science; 2024 Jun; 384(6702):eadn6354. PubMed ID: 38753765
    [TBL] [Abstract][Full Text] [Related]  

  • 19. NMR hawk-eyed view of AlphaFold2 structures.
    Zweckstetter M
    Protein Sci; 2021 Nov; 30(11):2333-2337. PubMed ID: 34469019
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Multi-state modeling of G-protein coupled receptors at experimental accuracy.
    Heo L; Feig M
    Proteins; 2022 Nov; 90(11):1873-1885. PubMed ID: 35510704
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.