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Journal Abstract Search

209 related items for PubMed ID: 35008467

  • 1. A Comparison between Enrichment Optimization Algorithm (EOA)-Based and Docking-Based Virtual Screening.
    Spiegel J, Senderowitz H.
    Int J Mol Sci; 2021 Dec 21; 23(1):. PubMed ID: 35008467
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  • 2. Evaluation of QSAR Equations for Virtual Screening.
    Spiegel J, Senderowitz H.
    Int J Mol Sci; 2020 Oct 22; 21(21):. PubMed ID: 33105703
    [Abstract] [Full Text] [Related]

  • 3. Towards an Enrichment Optimization Algorithm (EOA)-based Target Specific Docking Functions for Virtual Screening.
    Spiegel J, Senderowitz H.
    Mol Inform; 2022 Nov 22; 41(11):e2200034. PubMed ID: 35790469
    [Abstract] [Full Text] [Related]

  • 4. Evolutionary chemical binding similarity approach integrated with 3D-QSAR method for effective virtual screening.
    Durai P, Ko YJ, Pan CH, Park K.
    BMC Bioinformatics; 2020 Jul 14; 21(1):309. PubMed ID: 32664863
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  • 5. Molecular docking and receptor-specific 3D-QSAR studies of acetylcholinesterase inhibitors.
    Deb PK, Sharma A, Piplani P, Akkinepally RR.
    Mol Divers; 2012 Nov 14; 16(4):803-23. PubMed ID: 22996404
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  • 9. Deciphering the Interactions of Bioactive Compounds in Selected Traditional Medicinal Plants against Alzheimer's Diseases via Pharmacophore Modeling, Auto-QSAR, and Molecular Docking Approaches.
    Ojo OA, Ojo AB, Okolie C, Nwakama MC, Iyobhebhe M, Evbuomwan IO, Nwonuma CO, Maimako RF, Adegboyega AE, Taiwo OA, Alsharif KF, Batiha GE.
    Molecules; 2021 Apr 01; 26(7):. PubMed ID: 33915968
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  • 12. A Hybrid Docking and Machine Learning Approach to Enhance the Performance of Virtual Screening Carried out on Protein-Protein Interfaces.
    Singh N, Villoutreix BO.
    Int J Mol Sci; 2022 Nov 18; 23(22):. PubMed ID: 36430841
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  • 14. Lead finder: an approach to improve accuracy of protein-ligand docking, binding energy estimation, and virtual screening.
    Stroganov OV, Novikov FN, Stroylov VS, Kulkov V, Chilov GG.
    J Chem Inf Model; 2008 Dec 18; 48(12):2371-85. PubMed ID: 19007114
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  • 17. Comparing neural-network scoring functions and the state of the art: applications to common library screening.
    Durrant JD, Friedman AJ, Rogers KE, McCammon JA.
    J Chem Inf Model; 2013 Jul 22; 53(7):1726-35. PubMed ID: 23734946
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  • 18. Identifying natural compounds as multi-target-directed ligands against Alzheimer's disease: an in silico approach.
    Ambure P, Bhat J, Puzyn T, Roy K.
    J Biomol Struct Dyn; 2019 Mar 22; 37(5):1282-1306. PubMed ID: 29578387
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  • 19. Best Matching Protein Conformations and Docking Programs for a Virtual Screening Campaign Against SMO Receptor.
    Amendola G, Di Maio D, La Pietra V, Cosconati S.
    Mol Inform; 2016 Sep 22; 35(8-9):340-9. PubMed ID: 27546038
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  • 20. Identification of selective MMP-9 inhibitors through multiple e-pharmacophore, ligand-based pharmacophore, molecular docking, and density functional theory approaches.
    Jana S, Singh SK.
    J Biomol Struct Dyn; 2019 Mar 22; 37(4):944-965. PubMed ID: 29475408
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