BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

220 related articles for article (PubMed ID: 36550341)

  • 1. Towards Effective Consensus Scoring in Structure-Based Virtual Screening.
    Nhat Phuong D; Flower DR; Chattopadhyay S; Chattopadhyay AK
    Interdiscip Sci; 2023 Mar; 15(1):131-145. PubMed ID: 36550341
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Extracting prime protein targets as possible drug candidates: machine learning evaluation.
    Chattopadhyay S; Do NP; Flower DR; Chattopadhyay AK
    Med Biol Eng Comput; 2023 Nov; 61(11):3035-3048. PubMed ID: 37608081
    [TBL] [Abstract][Full Text] [Related]  

  • 3. PSOVina: The hybrid particle swarm optimization algorithm for protein-ligand docking.
    Ng MC; Fong S; Siu SW
    J Bioinform Comput Biol; 2015 Jun; 13(3):1541007. PubMed ID: 25800162
    [TBL] [Abstract][Full Text] [Related]  

  • 4. dockECR: Open consensus docking and ranking protocol for virtual screening of small molecules.
    Ochoa R; Palacio-Rodriguez K; Clemente CM; Adler NS
    J Mol Graph Model; 2021 Dec; 109():108023. PubMed ID: 34555725
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Evaluation of consensus scoring methods for AutoDock Vina, smina and idock.
    Masters L; Eagon S; Heying M
    J Mol Graph Model; 2020 May; 96():107532. PubMed ID: 31991303
    [TBL] [Abstract][Full Text] [Related]  

  • 6. MILCDock: Machine Learning Enhanced Consensus Docking for Virtual Screening in Drug Discovery.
    Morris CJ; Stern JA; Stark B; Christopherson M; Della Corte D
    J Chem Inf Model; 2022 Nov; 62(22):5342-5350. PubMed ID: 36342217
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Consensus scoring criteria for improving enrichment in virtual screening.
    Yang JM; Chen YF; Shen TW; Kristal BS; Hsu DF
    J Chem Inf Model; 2005; 45(4):1134-46. PubMed ID: 16045308
    [TBL] [Abstract][Full Text] [Related]  

  • 8. SCORCH: Improving structure-based virtual screening with machine learning classifiers, data augmentation, and uncertainty estimation.
    McGibbon M; Money-Kyrle S; Blay V; Houston DR
    J Adv Res; 2023 Apr; 46():135-147. PubMed ID: 35901959
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Comprehensive Survey of Consensus Docking for High-Throughput Virtual Screening.
    Blanes-Mira C; Fernández-Aguado P; de Andrés-López J; Fernández-Carvajal A; Ferrer-Montiel A; Fernández-Ballester G
    Molecules; 2022 Dec; 28(1):. PubMed ID: 36615367
    [TBL] [Abstract][Full Text] [Related]  

  • 10. PLHINT: A knowledge-driven computational approach based on the intermolecular H bond interactions at the protein-ligand interface from docking solutions.
    Kumar SP
    J Mol Graph Model; 2018 Jan; 79():194-212. PubMed ID: 29241118
    [TBL] [Abstract][Full Text] [Related]  

  • 11. DockingPie: a consensus docking plugin for PyMOL.
    Rosignoli S; Paiardini A
    Bioinformatics; 2022 Sep; 38(17):4233-4234. PubMed ID: 35792827
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Chaos-embedded particle swarm optimization approach for protein-ligand docking and virtual screening.
    Tai HK; Jusoh SA; Siu SWI
    J Cheminform; 2018 Dec; 10(1):62. PubMed ID: 30552524
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Comprehensive evaluation of ten docking programs on a diverse set of protein-ligand complexes: the prediction accuracy of sampling power and scoring power.
    Wang Z; Sun H; Yao X; Li D; Xu L; Li Y; Tian S; Hou T
    Phys Chem Chem Phys; 2016 May; 18(18):12964-75. PubMed ID: 27108770
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Docking with GemDock.
    Bitencourt-Ferreira G; de Azevedo WF
    Methods Mol Biol; 2019; 2053():169-188. PubMed ID: 31452105
    [TBL] [Abstract][Full Text] [Related]  

  • 15. AutoDockFR: Advances in Protein-Ligand Docking with Explicitly Specified Binding Site Flexibility.
    Ravindranath PA; Forli S; Goodsell DS; Olson AJ; Sanner MF
    PLoS Comput Biol; 2015 Dec; 11(12):e1004586. PubMed ID: 26629955
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Machine learning optimization of cross docking accuracy.
    Bjerrum EJ
    Comput Biol Chem; 2016 Jun; 62():133-44. PubMed ID: 27179709
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Improving protein-ligand docking and screening accuracies by incorporating a scoring function correction term.
    Zheng L; Meng J; Jiang K; Lan H; Wang Z; Lin M; Li W; Guo H; Wei Y; Mu Y
    Brief Bioinform; 2022 May; 23(3):. PubMed ID: 35289359
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Consensus virtual screening approaches to predict protein ligands.
    Kukol A
    Eur J Med Chem; 2011 Sep; 46(9):4661-4. PubMed ID: 21640444
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Uni-Dock: GPU-Accelerated Docking Enables Ultralarge Virtual Screening.
    Yu Y; Cai C; Wang J; Bo Z; Zhu Z; Zheng H
    J Chem Theory Comput; 2023 Jun; 19(11):3336-3345. PubMed ID: 37125970
    [TBL] [Abstract][Full Text] [Related]  

  • 20. The scoring bias in reverse docking and the score normalization strategy to improve success rate of target fishing.
    Luo Q; Zhao L; Hu J; Jin H; Liu Z; Zhang L
    PLoS One; 2017; 12(2):e0171433. PubMed ID: 28196116
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.