يعرض 1 - 10 نتائج من 807 نتيجة بحث عن '"QSAR model"', وقت الاستعلام: 0.87s تنقيح النتائج
  1. 1
    مؤتمر
    Computer aided drug design: Pharmacophore, QSAR and docking studies for novel anti-inflammatory natural compounds

    المؤلفون: Le-Quy, Dat, Thi, Thuy Le, Dao-Huy, Toan

    المصدر: 2023 1st International Conference on Health Science and Technology (ICHST) Health Science and Technology (ICHST), 2023 1st International Conference on. :1-8 Dec, 2023

    Relation: 2023 1st International Conference on Health Science and Technology (ICHST)

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  2. 2
    دورية أكاديمية
    Investigation of potential ascorbate peroxidase inhibitors for anti-leishmaniasis therapy

    المؤلفون: Rabaan, Ali A.Aff1, Aff2, Aff3, IDs1222302401190z_cor1, Alshahrani, Mohammed Abdulrahman, Othman, Basim, Alfaresi, MubarakAff6, Aff7, Almutawif, Yahya A., Eid, Hamza M. A., Saif, Ahmed, Alshehri, Ahmad A.Aff4, IDs1222302401190z_cor8

    المصدر: Folia Microbiologica: Official Journal of the Institute of Microbiology, Academy of Sciences of the Czech Republic and Czechoslavak Society for Microbiology. :1-20

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  3. 3
    دورية أكاديمية
    An in silico approach to identify novel and potential Akt1 (protein kinase B-alpha) inhibitors as anticancer drugs

    المؤلفون: Etikyala, Umadevi, Reddyrajula, Rajkumar, Vani, T., Kuchana, Vinutha, Dalimba, Udayakumar, Manga, VijjulathaAff1, IDs11030024108879_cor6

    المصدر: Molecular Diversity. :1-24

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  4. 4
    مؤتمر
    Hierarchical Modeling of Binding Affinity Prediction Using Machine LearningTechniques

    المؤلفون: D'Souza, Sofia, Prema, K.V, Balaji, S

    المصدر: 2021 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER) Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER), 2021 IEEE International Conference on. :61-65 Nov, 2021

    Relation: 2021 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER)

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  5. 5
    دورية أكاديمية
    Multicellular target QSAR models for predicting of novel inhibitors against pancreatic cancer by Monte Carlo approach

    المؤلفون: Shahin Ahmadi, Shahram Lotfi, Ali Azimi, Parvin Kumar

    المصدر: Results in Chemistry, Vol 10, Iss , Pp 101734- (2024)

    مصطلحات موضوعية: Classification QSAR model, CORAL, Anti-pancreatic cancer agents, SMILES, Monte Carlo method, Chemistry, QD1-999

    وصف الملف: electronic resource

    Relation: http://www.sciencedirect.com/science/article/pii/S2211715624004302; https://doaj.org/toc/2211-7156

    URL الوصول: https://doaj.org/article/d594b922a34d43b88e77b9f9971e944e

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  6. 6
    دورية أكاديمية
    Theoretical rejection of fifty-four antineoplastic drugs by different nanofiltration membranes

    المؤلفون: Gouveia, Teresa I.A.Aff1, Aff2, Alves, ArmindaAff1, Aff2, Santos, Mónica S.F.Aff1, Aff2, Aff3, Aff4, IDs1135602329830w_cor3

    المصدر: Environmental Science and Pollution Research. 30(48):106099-106111

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  7. 7
    دورية أكاديمية
    Identification of apigenin-4’-glucoside as bacterial DNA gyrase inhibitor by QSAR modeling, molecular docking, DFT, molecular dynamics, and in vitro confirmation studies

    المؤلفون: Harini, Manoharan, Kavitha, Kuppuswamy, Prabakaran, Vadivel, Krithika, Anandan, Dinesh, Shanmugam, Rajalakshmi, Arumugam, Suresh, Gopal, Puvanakrishnan, Rengarajulu, Ramesh, BalasubramanianAff1, IDs0089402305813z_cor9

    المصدر: Journal of Molecular Modeling: Computational Chemistry - Life Science - Advanced Materials - New Methods. 30(1)

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  8. 8
    دورية أكاديمية
    Quantitative structure–activity relationship modeling of hydroxylated polychlorinated biphenyls as constitutive androstane receptor agonists

    المؤلفون: Akinola, Lukman KehindeAff1, Aff2, IDs11224022019922_cor1, Uzairu, Adamu, Shallangwa, Gideon Adamu, Abechi, Stephen Eyije

    المصدر: Structural Chemistry: Computational and Experimental Studies of Chemical and Biological Systems. 34(2):477-490

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  9. 9
    دورية أكاديمية

    لا يتم عرض هذه النتيجة على الضيوف.

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  10. 10
    دورية أكاديمية
    Merging Counter-Propagation and Back-Propagation Algorithms: Overcoming the Limitations of Counter-Propagation Neural Network Models

    المؤلفون: Viktor Drgan, Katja Venko, Janja Sluga, Marjana Novič

    المصدر: International Journal of Molecular Sciences, Vol 25, Iss 8, p 4156 (2024)

    مصطلحات موضوعية: counter-propagation CP-ANN, back-propagation-error BPE-ANN, machine learning, cheminformatics tool, QSAR model, water solubility, Biology (General), QH301-705.5, Chemistry, QD1-999

    وصف الملف: electronic resource

    Relation: https://www.mdpi.com/1422-0067/25/8/4156; https://doaj.org/toc/1661-6596; https://doaj.org/toc/1422-0067

    URL الوصول: https://doaj.org/article/8375993fbb444d4dab4c62afb87629ce

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