يعرض 1 - 10 نتائج من 505 نتيجة بحث عن '"coral software"', وقت الاستعلام: 1.83s تنقيح النتائج
  1. 1
    دورية أكاديمية
    Using the vector of the ideality of correlation to simulate the zeta potential of nanoparticles under different experimental conditions, represented by quasi-SMILES

    المؤلفون: Toropova, Alla P.Aff1, IDs11224024023577_cor1, Toropov, Andrey A., Sizochenko, Natalia

    المصدر: Structural Chemistry: Computational and Experimental Studies of Chemical and Biological Systems. :1-11

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  2. 2
    دورية أكاديمية
    Quantitative Structure–Activity Relationship Models for the Angiotensin-Converting Enzyme Inhibitory Activities of Short-Chain Peptides of Goat Milk Using Quasi-SMILES

    المؤلفون: Alla P. Toropova, Andrey A. Toropov, Alessandra Roncaglioni, Emilio Benfenati

    المصدر: Macromol, Vol 4, Iss 2, Pp 387-400 (2024)

    مصطلحات موضوعية: ACE inhibitory activities, short-chain peptides of goat milk, quasi-SMILES, QSAR, Monte Carlo method, CORAL software, Chemical technology, TP1-1185, Biochemistry, QD415-436

    وصف الملف: electronic resource

    Relation: https://www.mdpi.com/2673-6209/4/2/22; https://doaj.org/toc/2673-6209

    URL الوصول: https://doaj.org/article/14b4604421a24c8c919d166bed43cfb1

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  3. 3
    دورية أكاديمية
    Using the local symmetry in amino acids sequences of polypeptides to improve the predictive potential of models of their inhibitor activity

    المؤلفون: Toropova, Alla P.Aff1, IDs00726023033220_cor1, Toropov, Andrey A.

    المصدر: Amino Acids: The Forum for Amino Acid, Peptide and Protein Research. 55(10):1437-1445

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  4. 4
    دورية أكاديمية
    The prediction of the retention time of pesticide based on the Monte Carlo method with the use of the vector of the ideality of correlation and correlation weights of local symmetry fragments

    المؤلفون: Toropova, Alla P., Toropov, Andrey A.Aff1, IDs10910023015170_cor2, Raska, Jr., Ivan, Raskova, Maria, Carbó-Dorca, RamonAff3, Aff4

    المصدر: Journal of Mathematical Chemistry. :1-15

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  5. 5
    دورية أكاديمية
    In-silico activity prediction and docking studies of some flavonol derivatives as anti-prostate cancer agents based on Monte Carlo optimization

    المؤلفون: Tajiani, Faezeh, Ahmadi, ShahinAff2, IDs1306502300999y_cor2, Lotfi, Shahram, Kumar, Parvin, Almasirad, Ali

    المصدر: BMC Chemistry. 17(1)

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  6. 6
    دورية أكاديمية
    Prediction of n-octanol–water partition coefficient of platinum (IV) complexes using correlation weights of fragments of local symmetry

    المؤلفون: Toropov, Andrey A., Toropova, Alla P.Aff1, IDs1122402302197x_cor2, Achary, P. Ganga Raju

    المصدر: Structural Chemistry: Computational and Experimental Studies of Chemical and Biological Systems. 34(4):1517-1526

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  7. 7
    كتاب إلكتروني
    Employing Quasi-SMILES Notation in Development of Nano-QSPR Models for Nanofluids

    المؤلفون: Jafari, KimiaAff4, Fatemi, Mohammad HosseinAff4

    المساهمون: Leszczynski, Jerzy, Series EditorAff1, Toropova, Alla P., editorAff2, Toropov, Andrey A., editorAff3

    المصدر: QSPR/QSAR Analysis Using SMILES and Quasi-SMILES. 33:373-393

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  8. 8
    كتاب إلكتروني
    The CORAL Software as a Tool to Develop Models for Nanomaterials’ Endpoints

    المؤلفون: Toropova, Alla P.Aff4, Toropov, Andrey A.Aff4

    المساهمون: Leszczynski, Jerzy, Series EditorAff1, Toropova, Alla P., editorAff2, Toropov, Andrey A., editorAff3

    المصدر: QSPR/QSAR Analysis Using SMILES and Quasi-SMILES. 33:351-371

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  9. 9
    كتاب إلكتروني
    Quasi-SMILES-Based QSPR/QSAR Modeling

    المؤلفون: Ahmadi, ShahinAff4, Azimi, NedaAff5

    المساهمون: Leszczynski, Jerzy, Series EditorAff1, Toropova, Alla P., editorAff2, Toropov, Andrey A., editorAff3

    المصدر: QSPR/QSAR Analysis Using SMILES and Quasi-SMILES. 33:191-210

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  10. 10
    دورية أكاديمية
    In-silico activity prediction and docking studies of some flavonol derivatives as anti-prostate cancer agents based on Monte Carlo optimization

    المؤلفون: Faezeh Tajiani, Shahin Ahmadi, Shahram Lotfi, Parvin Kumar, Ali Almasirad

    المصدر: BMC Chemistry, Vol 17, Iss 1, Pp 1-17 (2023)

    مصطلحات موضوعية: Flavonoids compounds, Prostate cancer, QSAR, CORAL software, Molecular docking, Chemistry, QD1-999

    وصف الملف: electronic resource

    Relation: https://doaj.org/toc/2661-801X

    URL الوصول: https://doaj.org/article/62746d1351c143c4a86216a8ba6b5f73

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