Artículos de revistas sobre el tema "Computer-aided drug discovery, in silico methodologies, ligand-based, structure-based"
Crea una cita precisa en los estilos APA, MLA, Chicago, Harvard y otros
Consulte los 22 mejores artículos de revistas para su investigación sobre el tema "Computer-aided drug discovery, in silico methodologies, ligand-based, structure-based".
Junto a cada fuente en la lista de referencias hay un botón "Agregar a la bibliografía". Pulsa este botón, y generaremos automáticamente la referencia bibliográfica para la obra elegida en el estilo de cita que necesites: APA, MLA, Harvard, Vancouver, Chicago, etc.
También puede descargar el texto completo de la publicación académica en formato pdf y leer en línea su resumen siempre que esté disponible en los metadatos.
Explore artículos de revistas sobre una amplia variedad de disciplinas y organice su bibliografía correctamente.
Yadav, Tara Chand, Amit Kumar Srivastava, Arpita Dey, Naresh Kumar, Navdeep Raghuwanshi y Vikas Pruthi. "Application of Computational Techniques to Unravel Structure-Function Relationship and their Role in Therapeutic Development". Current Topics in Medicinal Chemistry 18, n.º 20 (31 de diciembre de 2018): 1769–91. http://dx.doi.org/10.2174/1568026619666181120142141.
Texto completode Sousa Luis, José A., Normando A. da Silva Costa, Cristiane C. S. Luis, Bruno F. Lira, Petrônio F. Athayde-Filho, Tatjana K. de Souza Lima, Juliana da Câmara Rocha, Luciana Scotti y Marcus T. Scotti. "Synthesis of New Cyclic Imides Derived From Safrole, Structure- and Ligand-based Approaches to Evaluate Potential New Multitarget Agents Against Species of Leishmania". Medicinal Chemistry 16, n.º 1 (16 de enero de 2020): 39–51. http://dx.doi.org/10.2174/1573406415666190430144950.
Texto completoCerdan, Adrien H., Marion Sisquellas, Gilberto Pereira, Diego E. Barreto Gomes, Jean-Pierre Changeux y Marco Cecchini. "The Glycine Receptor Allosteric Ligands Library (GRALL)". Bioinformatics 36, n.º 11 (12 de marzo de 2020): 3379–84. http://dx.doi.org/10.1093/bioinformatics/btaa170.
Texto completoNero, Tracy L., Michael W. Parker y Craig J. Morton. "Protein structure and computational drug discovery". Biochemical Society Transactions 46, n.º 5 (21 de septiembre de 2018): 1367–79. http://dx.doi.org/10.1042/bst20180202.
Texto completoSehgal, Vijay Kumar, Supratik Das y Anand Vardhan. "Computer Aided Drug Designing". International Journal of Medical and Dental Sciences 6, n.º 1 (1 de enero de 2017): 1433. http://dx.doi.org/10.18311/ijmds/2017/18804.
Texto completoDe, Baishakhi, Koushik Bhandari, Francisco J. B. Mendonça, Marcus T. Scotti y Luciana Scotti. "Computational Studies in Drug Design Against Cancer". Anti-Cancer Agents in Medicinal Chemistry 19, n.º 5 (27 de junio de 2019): 587–91. http://dx.doi.org/10.2174/1871520618666180911125700.
Texto completoSanyal, Saptarshi, Sk Abdul Amin, Nilanjan Adhikari y Tarun Jha. "Ligand-based design of anticancer MMP2 inhibitors: a review". Future Medicinal Chemistry 13, n.º 22 (noviembre de 2021): 1987–2013. http://dx.doi.org/10.4155/fmc-2021-0262.
Texto completoLeelananda, Sumudu P. y Steffen Lindert. "Computational methods in drug discovery". Beilstein Journal of Organic Chemistry 12 (12 de diciembre de 2016): 2694–718. http://dx.doi.org/10.3762/bjoc.12.267.
Texto completoSamanta, Pabitra Narayan, Supratik Kar y Jerzy Leszczynski. "Recent Advances of In-Silico Modeling of Potent Antagonists for the Adenosine Receptors". Current Pharmaceutical Design 25, n.º 7 (17 de junio de 2019): 750–73. http://dx.doi.org/10.2174/1381612825666190304123545.
Texto completoRamesh, Muthusamy y Arunachalam Muthuraman. "Computer-Aided Drug Discovery (CADD) Approaches for the Management of Neuropathic Pain". Current Topics in Medicinal Chemistry 21, n.º 32 (23 de diciembre de 2021): 2856–68. http://dx.doi.org/10.2174/1568026621666211122161932.
Texto completoRudrapal, Mithun y Dipak Chetia. "Virtual Screening, Molecular Docking and QSAR Studies in Drug Discovery and Development Programme". Journal of Drug Delivery and Therapeutics 10, n.º 4 (15 de julio de 2020): 225–33. http://dx.doi.org/10.22270/jddt.v10i4.4218.
Texto completoNakarin, Fahsai, Kajjana Boonpalit, Jiramet Kinchagawat, Patcharapol Wachiraphan, Thanyada Rungrotmongkol y Sarana Nutanong. "Assisting Multitargeted Ligand Affinity Prediction of Receptor Tyrosine Kinases Associated Nonsmall Cell Lung Cancer Treatment with Multitasking Principal Neighborhood Aggregation". Molecules 27, n.º 4 (11 de febrero de 2022): 1226. http://dx.doi.org/10.3390/molecules27041226.
Texto completoPandey, Surabhi y B. K. Singh. "De-novo Drug Design, Molecular Docking and In-Silico Molecular Prediction of AChEI Analogues through CADD Approaches as Anti-Alzheimer’s Agents". Current Computer-Aided Drug Design 16, n.º 1 (6 de enero de 2020): 54–72. http://dx.doi.org/10.2174/1573409915666190301124210.
Texto completoBrogi, Simone, Mark Tristan Quimque, Kin Israel Notarte, Jeremiah Gabriel Africa, Jenina Beatriz Hernandez, Sophia Morgan Tan, Vincenzo Calderone y Allan Patrick Macabeo. "Virtual Combinatorial Library Screening of Quinadoline B Derivatives against SARS-CoV-2 RNA-Dependent RNA Polymerase". Computation 10, n.º 1 (12 de enero de 2022): 7. http://dx.doi.org/10.3390/computation10010007.
Texto completoOsman, Doaa A., Mario A. Macías, Lamya H. Al-Wahaibi, Nora H. Al-Shaalan, Luke S. Zondagh, Jacques Joubert, Santiago Garcia-Granda y Ali A. El-Emam. "Structural Insights and Docking Analysis of Adamantane-Linked 1,2,4-Triazole Derivatives as Potential 11β-HSD1 Inhibitors". Molecules 26, n.º 17 (2 de septiembre de 2021): 5335. http://dx.doi.org/10.3390/molecules26175335.
Texto completoSokolova, K. V., V. V. Stavytskyi, S. О. Konovalova, O. A. Podpletnya, S. I. Kovalenko y A. P. Avdeenko. "Design and search for prospective diuretics (CA II Inhibitors) among aroylhydrazones of esters quinone oxime using in silico and in vivo methodology". Medicni perspektivi 27, n.º 4 (29 de diciembre de 2022): 27–37. http://dx.doi.org/10.26641/2307-0404.2022.4.271120.
Texto completoMoreira, Bernardo Pereira, Izabella Cristina Andrade Batista, Naiara Clemente Tavares, Tom Armstrong, Sandra Grossi Gava, Gabriella Parreiras Torres, Marina Moraes Mourão y Franco H. Falcone. "Docking-Based Virtual Screening Enables Prioritizing Protein Kinase Inhibitors With In Vitro Phenotypic Activity Against Schistosoma mansoni". Frontiers in Cellular and Infection Microbiology 12 (5 de julio de 2022). http://dx.doi.org/10.3389/fcimb.2022.913301.
Texto completoSimoben, Conrad V., Fidele Ntie-Kang, Dina Robaa y Wolfgang Sippl. "Case studies on computer-based identification of natural products as lead molecules". Physical Sciences Reviews 5, n.º 10 (15 de mayo de 2020). http://dx.doi.org/10.1515/psr-2018-0119.
Texto completoRahman, Md Mominur, Md Rezaul Islam, Shopnil Akash, Sadia Afsana Mim, Md Saidur Rahaman, Talha Bin Emran, Esra Küpeli Akkol et al. "In silico investigation and potential therapeutic approaches of natural products for COVID-19: Computer-aided drug design perspective". Frontiers in Cellular and Infection Microbiology 12 (22 de agosto de 2022). http://dx.doi.org/10.3389/fcimb.2022.929430.
Texto completoProj, Matic, Steven De Jonghe, Tom Van Loy, Marko Jukič, Anže Meden, Luka Ciber, Črtomir Podlipnik et al. "A Set of Experimentally Validated Decoys for the Human CC Chemokine Receptor 7 (CCR7) Obtained by Virtual Screening". Frontiers in Pharmacology 13 (18 de marzo de 2022). http://dx.doi.org/10.3389/fphar.2022.855653.
Texto completoSahu, Ankita, Saurabh Verma, Dibyabhaba Pradhan, Khalid Raza, Sahar Qazi y A. K. Jain. "Computational screening for finding new potent cox-2 inhibitors as anticancer agents". Letters in Drug Design & Discovery 19 (28 de enero de 2022). http://dx.doi.org/10.2174/1570180819666220128122553.
Texto completoGahbauer, Stefan, Galen J. Correy, Marion Schuller, Matteo P. Ferla, Yagmur Umay Doruk, Moira Rachman, Taiasean Wu et al. "Iterative computational design and crystallographic screening identifies potent inhibitors targeting the Nsp3 macrodomain of SARS-CoV-2". Proceedings of the National Academy of Sciences 120, n.º 2 (4 de enero de 2023). http://dx.doi.org/10.1073/pnas.2212931120.
Texto completo