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 *

294 related articles for article (PubMed ID: 37298256)

  • 1. Roles of Virtual Screening and Molecular Dynamics Simulations in Discovering and Understanding Antimalarial Drugs.
    Duay SS; Yap RCY; Gaitano AL; Santos JAA; Macalino SJY
    Int J Mol Sci; 2023 May; 24(11):. PubMed ID: 37298256
    [TBL] [Abstract][Full Text] [Related]  

  • 2. The current status of antimalarial drug research with special reference to application of QSAR models.
    Ojha PK; Roy K
    Comb Chem High Throughput Screen; 2015; 18(2):91-128. PubMed ID: 25543681
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Ligand-based virtual screening and in silico design of new antimalarial compounds using nonstochastic and stochastic total and atom-type quadratic maps.
    Marrero-Ponce Y; Iyarreta-Veitía M; Montero-Torres A; Romero-Zaldivar C; Brandt CA; Avila PE; Kirchgatter K; Machado Y
    J Chem Inf Model; 2005; 45(4):1082-100. PubMed ID: 16045304
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Folic acid supplementation and malaria susceptibility and severity among people taking antifolate antimalarial drugs in endemic areas.
    Crider K; Williams J; Qi YP; Gutman J; Yeung L; Mai C; Finkelstain J; Mehta S; Pons-Duran C; Menéndez C; Moraleda C; Rogers L; Daniels K; Green P
    Cochrane Database Syst Rev; 2022 Feb; 2(2022):. PubMed ID: 36321557
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Deep Learning-driven research for drug discovery: Tackling Malaria.
    Neves BJ; Braga RC; Alves VM; Lima MNN; Cassiano GC; Muratov EN; Costa FTM; Andrade CH
    PLoS Comput Biol; 2020 Feb; 16(2):e1007025. PubMed ID: 32069285
    [TBL] [Abstract][Full Text] [Related]  

  • 6. New horizons in antimalarial drug discovery in the last decade by chemoinformatic approaches.
    Ambre PK; Wavhale RD; Coutinho EC
    Comb Chem High Throughput Screen; 2015; 18(2):129-50. PubMed ID: 25543682
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Structure- and ligand-based drug design methods for the modeling of antimalarial agents: a review of updates from 2012 onwards.
    Vyas VK; Bhati S; Patel S; Ghate M
    J Biomol Struct Dyn; 2022; 40(20):10481-10506. PubMed ID: 34129805
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Structure-based virtual screening approach reveals natural multi-target compounds for the development of antimalarial drugs to combat drug resistance.
    Naik B; Gupta N; Godara P; Srivastava V; Kumar P; Giri R; Prajapati VK; Pandey KC; Prusty D
    J Biomol Struct Dyn; 2024 Sep; 42(14):7384-7408. PubMed ID: 37528665
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Multiple e-pharmacophore modelling pooled with high-throughput virtual screening, docking and molecular dynamics simulations to discover potential inhibitors of Plasmodium falciparum lactate dehydrogenase (PfLDH).
    Saxena S; Durgam L; Guruprasad L
    J Biomol Struct Dyn; 2019 Apr; 37(7):1783-1799. PubMed ID: 29718775
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Structure-Based Design and Pharmacophore-Based Virtual Screening of Combinatorial Library of Triclosan Analogues Active against Enoyl-Acyl Carrier Protein Reductase of
    Bieri C; Esmel A; Keita M; Owono LCO; Dali B; Megnassan E; Miertus S; Frecer V
    Int J Mol Sci; 2023 Apr; 24(8):. PubMed ID: 37108083
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Recent advances in quantitative structure-activity relationship models of antimalarial drugs.
    Ojha PK; Kumar V; Roy J; Roy K
    Expert Opin Drug Discov; 2021 Jun; 16(6):659-695. PubMed ID: 33356651
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Novel tumor necrosis factor-α (TNF-α) inhibitors from small molecule library screening for their therapeutic activity profiles against rheumatoid arthritis using target-driven approaches and binary QSAR models.
    Zaka M; Abbasi BH; Durdagi S
    J Biomol Struct Dyn; 2019 Jun; 37(9):2464-2476. PubMed ID: 30047845
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Discovery of novel antimalarial compounds enabled by QSAR-based virtual screening.
    Zhang L; Fourches D; Sedykh A; Zhu H; Golbraikh A; Ekins S; Clark J; Connelly MC; Sigal M; Hodges D; Guiguemde A; Guy RK; Tropsha A
    J Chem Inf Model; 2013 Feb; 53(2):475-92. PubMed ID: 23252936
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Design, Synthesis, Antimalarial Activity and Docking Study of 7-Chloro-4- (2-(substituted benzylidene)hydrazineyl)quinolines.
    Kalita J; Chetia D; Rudrapal M
    Med Chem; 2020; 16(7):928-937. PubMed ID: 31385774
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Exploring structural requirements for a class of nucleoside inhibitors (PfdUTPase) as antimalarials: first report on QSAR, pharmacophore mapping and multiple docking studies.
    Ojha PK; Roy K
    Comb Chem High Throughput Screen; 2013 Nov; 16(9):739-57. PubMed ID: 23701009
    [TBL] [Abstract][Full Text] [Related]  

  • 16. CAPi: Computational Model for Apicoplast Inhibitors Prediction Against Plasmodium Parasite.
    Dixit S; Singla D
    Curr Comput Aided Drug Des; 2017 Nov; 13(4):303-310. PubMed ID: 28260517
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Identification of novel PfDHODH inhibitors as antimalarial agents via pharmacophore-based virtual screening followed by molecular docking and in vivo antimalarial activity.
    Vyas VK; Qureshi G; Ghate M; Patel H; Dalai S
    SAR QSAR Environ Res; 2016 Jun; 27(6):427-40. PubMed ID: 27310104
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 3D QSAR, pharmacophore and molecular docking studies of known inhibitors and designing of novel inhibitors for M18 aspartyl aminopeptidase of Plasmodium falciparum.
    Kumari M; Chandra S; Tiwari N; Subbarao N
    BMC Struct Biol; 2016 Aug; 16():12. PubMed ID: 27534744
    [TBL] [Abstract][Full Text] [Related]  

  • 19. New approaches in antimalarial drug discovery and development: a review.
    Aguiar AC; Rocha EM; Souza NB; França TC; Krettli AU
    Mem Inst Oswaldo Cruz; 2012 Nov; 107(7):831-45. PubMed ID: 23147137
    [TBL] [Abstract][Full Text] [Related]  

  • 20. The importance of employing computational resources for the automation of drug discovery.
    Rosales-Hernández MC; Correa-Basurto J
    Expert Opin Drug Discov; 2015 Mar; 10(3):213-9. PubMed ID: 25682781
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 15.