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An In silico Approach to Identify High Affinity Small Molecule Targeting m-TOR Inhibitors for the Clinical Treatment of Breast Cancer
Patidar, Khushboo; Panwar, Umesh; Vuree, Sugunakar; Sweta, Jajoriya; Sandhu, Manpreet Kaur; Nayarisseri, Anuraj; Singh, Sanjeev Kumar.
  • Patidar K; In silico Research Laboratory, Eminent Biosciences, Indore, Madhya Pradesh, India. Email: anuraj@eminentbio.com, skysanjeev@gmail.com
  • Panwar U; Computer Aided Drug Designing and Molecular Modeling Lab, Department of Bioinformatics, Alagappa University, Karaikudi,Tamil Nadu, India.
  • Vuree S; Department of Biotechnology, Lovely Faculty of Technology and Sciences, Division of Research and Development, Lovely Professional University, Phagwara, Punjab, India.
  • Sweta J; In silico Research Laboratory, Eminent Biosciences, Indore, Madhya Pradesh, India. Email: anuraj@eminentbio.com, skysanjeev@gmail.com
  • Sandhu MK; In silico Research Laboratory, Eminent Biosciences, Indore, Madhya Pradesh, India. Email: anuraj@eminentbio.com, skysanjeev@gmail.com
  • Nayarisseri A; In silico Research Laboratory, Eminent Biosciences, Indore, Madhya Pradesh, India. Email: anuraj@eminentbio.com, skysanjeev@gmail.com
  • Singh SK; Computer Aided Drug Designing and Molecular Modeling Lab, Department of Bioinformatics, Alagappa University, Karaikudi,Tamil Nadu, India.
Asian Pac J Cancer Prev ; 20(4): 1229-1241, 2019 Apr 29.
Article en En | MEDLINE | ID: mdl-31030499
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Simulación por Computador / Neoplasias de la Mama / Inhibidores de Proteínas Quinasas / Bibliotecas de Moléculas Pequeñas / Serina-Treonina Quinasas TOR / Bases de Datos Farmacéuticas Tipo de estudio: Prognostic_studies Límite: Female / Humans Idioma: En Año: 2019 Tipo del documento: Article
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Simulación por Computador / Neoplasias de la Mama / Inhibidores de Proteínas Quinasas / Bibliotecas de Moléculas Pequeñas / Serina-Treonina Quinasas TOR / Bases de Datos Farmacéuticas Tipo de estudio: Prognostic_studies Límite: Female / Humans Idioma: En Año: 2019 Tipo del documento: Article