Artículos de revistas sobre el tema "In silico methodologies"
Crea una cita precisa en los estilos APA, MLA, Chicago, Harvard y otros
Consulte los 50 mejores artículos de revistas para su investigación sobre el tema "In silico methodologies".
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.
Hasan, Doaa Mohamed, Ahmed Sharaf Eldin, Ayman Elsayed Khedr y Hanan Fahmy. "In-Silico Methodologies for Cancer Multidrug Optimization". INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 17, n.º 2 (6 de julio de 2018): 7186–205. http://dx.doi.org/10.24297/ijct.v17i2.7168.
Texto completoScotti, Luciana, Jahan Ghasemi y Marcus T. Scotti. "Editorial: In Silico Methodologies Applied to Drug Discovery". Combinatorial Chemistry & High Throughput Screening 21, n.º 3 (23 de abril de 2018): 150–51. http://dx.doi.org/10.2174/138620732103180423125817.
Texto completoScotti, Luciana y Marcus T. Scotti. "In Silico Methodologies Applied to Anti-infections Drug Discovery". Combinatorial Chemistry & High Throughput Screening 23, n.º 6 (5 de octubre de 2020): 456–57. http://dx.doi.org/10.2174/138620732306200612101828.
Texto completoRemtulla, Raheem, Sanjoy Kumar Das y Leonard A. Levin. "Predicting Absorption-Distribution Properties of Neuroprotective Phosphine-Borane Compounds Using In Silico Modeling and Machine Learning". Molecules 26, n.º 9 (25 de abril de 2021): 2505. http://dx.doi.org/10.3390/molecules26092505.
Texto completoUysal, Sengul, Abdurrahman Aktumsek, Carene M. N. Picot, Alime Sahan, Adriano Mollica, Gokhan Zengin y Mohamad Fawzi Mahomoodally. "A comparative in vitro and in silico study of the biological potential and chemical fingerprints of Dorcycinum pentapyllum subsp. haussknechtii using three extraction procedures". New Journal of Chemistry 41, n.º 22 (2017): 13952–60. http://dx.doi.org/10.1039/c7nj03497k.
Texto completoMoura, Ana S., Amit K. Halder y M. Natália DS Cordeiro. "From biomedicinal to in silico models and back to therapeutics: a review on the advancement of peptidic modeling". Future Medicinal Chemistry 11, n.º 17 (septiembre de 2019): 2313–31. http://dx.doi.org/10.4155/fmc-2018-0365.
Texto completoBall, Nicholas, Remi Bars, Philip A. Botham, Andreea Cuciureanu, Mark T. D. Cronin, John E. Doe, Tatsiana Dudzina, Timothy W. Gant, Marcel Leist y Bennard van Ravenzwaay. "A framework for chemical safety assessment incorporating new approach methodologies within REACH". Archives of Toxicology 96, n.º 3 (1 de febrero de 2022): 743–66. http://dx.doi.org/10.1007/s00204-021-03215-9.
Texto completoGimeno, Aleix, María Ojeda-Montes, Sarah Tomás-Hernández, Adrià Cereto-Massagué, Raúl Beltrán-Debón, Miquel Mulero, Gerard Pujadas y Santiago Garcia-Vallvé. "The Light and Dark Sides of Virtual Screening: What Is There to Know?" International Journal of Molecular Sciences 20, n.º 6 (19 de marzo de 2019): 1375. http://dx.doi.org/10.3390/ijms20061375.
Texto completoKothandan, Gugan, Changdev G. Gadhe, Thirumurthy Madhavan y Seung J. Cho. "Binding Site Analysis of CCR2 Through In Silico Methodologies: Docking, CoMFA, and CoMSIA". Chemical Biology & Drug Design 78, n.º 1 (29 de marzo de 2011): 161–74. http://dx.doi.org/10.1111/j.1747-0285.2011.01095.x.
Texto completoGadhe, Changdev G., Gugan Kothandan y Seung Joo Cho. "Binding site exploration of CCR5 using in silico methodologies: a 3D-QSAR approach". Archives of Pharmacal Research 36, n.º 1 (enero de 2013): 6–31. http://dx.doi.org/10.1007/s12272-013-0001-1.
Texto completoHalder, Amit Kumar y M. Natália Dias Soeiro Cordeiro. "Advanced in Silico Methods for the Development of Anti- Leishmaniasis and Anti-Trypanosomiasis Agents". Current Medicinal Chemistry 27, n.º 5 (16 de marzo de 2020): 697–718. http://dx.doi.org/10.2174/0929867325666181031093702.
Texto completoCezário, Stephanie Priscila de Sousa, Gabriel Veloso Correa y Luiz Frederico Motta. "<em>In silico</em> pharmacokinetic and toxicological study of Flavone analogues". Brazilian Journal of Development 8, n.º 12 (27 de diciembre de 2022): 80782–99. http://dx.doi.org/10.34117/bjdv8n12-263.
Texto completoFirman, James W., Mark T. D. Cronin, Philip H. Rowe, Elizaveta Semenova y John E. Doe. "The use of Bayesian methodology in the development and validation of a tiered assessment approach towards prediction of rat acute oral toxicity". Archives of Toxicology 96, n.º 3 (16 de enero de 2022): 817–30. http://dx.doi.org/10.1007/s00204-021-03205-x.
Texto completoAraujo, Laura Faria, Cacio Henrique de Souza Pinto y Luiz Frederico Motta. "<em>In silico</em> pharmacokinetic and toxicological study of Cinnamic Acid analogues". Brazilian Journal of Development 8, n.º 12 (27 de diciembre de 2022): 80800–80817. http://dx.doi.org/10.34117/bjdv8n12-264.
Texto completoTsiaka, Thalia, Eftichia Kritsi, Konstantinos Tsiantas, Paris Christodoulou, Vassilia J. Sinanoglou y Panagiotis Zoumpoulakis. "Design and Development of Novel Nutraceuticals: Current Trends and Methodologies". Nutraceuticals 2, n.º 2 (23 de abril de 2022): 71–90. http://dx.doi.org/10.3390/nutraceuticals2020006.
Texto completoJohnson, David, Anthony J. Connor, Steve Mckeever, Zhihui Wang, Thomas S. Deisboeck, Tom Quaiser y Eliezer Shochat. "Semantically Linking in Silico Cancer Models". Cancer Informatics 13s1 (enero de 2014): CIN.S13895. http://dx.doi.org/10.4137/cin.s13895.
Texto completoPereira, Florbela y Joao Aires-de-Sousa. "Computational Methodologies in the Exploration of Marine Natural Product Leads". Marine Drugs 16, n.º 7 (13 de julio de 2018): 236. http://dx.doi.org/10.3390/md16070236.
Texto completoBotton, Andrea, Gianmarco Barberi y Pierantonio Facco. "Data Augmentation to Support Biopharmaceutical Process Development through Digital Models—A Proof of Concept". Processes 10, n.º 9 (6 de septiembre de 2022): 1796. http://dx.doi.org/10.3390/pr10091796.
Texto completoAzzam, Khaldun AL. "SwissADME and pkCSM Webservers Predictors: an integrated Online Platform for Accurate and Comprehensive Predictions for In Silico ADME/T Properties of Artemisinin and its Derivatives". Kompleksnoe Ispolʹzovanie Mineralʹnogo syrʹâ/Complex Use of Mineral Resources/Mineraldik Shikisattardy Keshendi Paidalanu 325, n.º 2 (28 de noviembre de 2022): 14–21. http://dx.doi.org/10.31643/2023/6445.13.
Texto completoGrumetto, Lucia y Giacomo Russo. "cΔlog kwIAM: can we afford estimation of small molecules’ blood-brain barrier passage based upon in silico phospholipophilicity?" ADMET and DMPK 9, n.º 4 (15 de diciembre de 2021): 267–81. http://dx.doi.org/10.5599/admet.1034.
Texto completoAlbuquerque, Pedro, Inês Ribeiro, Sofia Correia, Ana Paula Mucha, Paula Tamagnini, Andreia Braga-Henriques, Maria de Fátima Carvalho y Marta V. Mendes. "Complete Genome Sequence of Two Deep-Sea Streptomyces Isolates from Madeira Archipelago and Evaluation of Their Biosynthetic Potential". Marine Drugs 19, n.º 11 (1 de noviembre de 2021): 621. http://dx.doi.org/10.3390/md19110621.
Texto completoGupta, Pawan, Prabha Garg y Nilanjan Roy. "In silico screening for identification of novel HIV-1 integrase inhibitors using QSAR and docking methodologies". Medicinal Chemistry Research 22, n.º 10 (5 de febrero de 2013): 5014–28. http://dx.doi.org/10.1007/s00044-013-0490-y.
Texto completoBarlow, D. J., A. Buriani, T. Ehrman, E. Bosisio, I. Eberini y P. J. Hylands. "In-silico studies in Chinese herbal medicines’ research: Evaluation of in-silico methodologies and phytochemical data sources, and a review of research to date". Journal of Ethnopharmacology 140, n.º 3 (abril de 2012): 526–34. http://dx.doi.org/10.1016/j.jep.2012.01.041.
Texto completoAraújo, Gabrielle Luck de, Maria Augusta Amaral Campos, Maria Anete Santana Valente, Sarah Cristina Teixeira Silva, Flávia Dayrell França, Miriam Martins Chaves y Carlos Alberto Tagliati. "Alternative methods in toxicity testing: the current approach". Brazilian Journal of Pharmaceutical Sciences 50, n.º 1 (marzo de 2014): 55–62. http://dx.doi.org/10.1590/s1984-82502011000100005.
Texto completoHussain, Michelle, Kun Tian, Luciano Mutti, Marija Krstic-Demonacos y Jean-Marc Schwartz. "The Expanded p53 Interactome as a Predictive Model for Cancer Therapy". Genomics and Computational Biology 1, n.º 1 (18 de septiembre de 2015): 20. http://dx.doi.org/10.18547/gcb.2015.vol1.iss1.e20.
Texto completoAminpour, Maral, Carlo Montemagno y Jack A. Tuszynski. "An Overview of Molecular Modeling for Drug Discovery with Specific Illustrative Examples of Applications". Molecules 24, n.º 9 (30 de abril de 2019): 1693. http://dx.doi.org/10.3390/molecules24091693.
Texto completoBisel, Blaine, Francesco S. Pavone y Martino Calamai. "GM1 and GM2 gangliosides: recent developments". BioMolecular Concepts 5, n.º 1 (1 de marzo de 2014): 87–93. http://dx.doi.org/10.1515/bmc-2013-0039.
Texto completoFurxhi, Irini, Finbarr Murphy, Martin Mullins, Athanasios Arvanitis y Craig A. Poland. "Practices and Trends of Machine Learning Application in Nanotoxicology". Nanomaterials 10, n.º 1 (8 de enero de 2020): 116. http://dx.doi.org/10.3390/nano10010116.
Texto completoPiñeiro-Yáñez, Elena, María José Jiménez-Santos, Gonzalo Gómez-López y Fátima Al-Shahrour. "In Silico Drug Prescription for Targeting Cancer Patient Heterogeneity and Prediction of Clinical Outcome". Cancers 11, n.º 9 (13 de septiembre de 2019): 1361. http://dx.doi.org/10.3390/cancers11091361.
Texto completoIwaniak, Anna, Małgorzata Darewicz, Damir Mogut y Piotr Minkiewicz. "Elucidation of the role of in silico methodologies in approaches to studying bioactive peptides derived from foods". Journal of Functional Foods 61 (octubre de 2019): 103486. http://dx.doi.org/10.1016/j.jff.2019.103486.
Texto completoAyaz, Shahid y Vivek Asati. "In silico study for the identification of potential compounds as PIM-1 kinase inhibitors". Pharmaspire 14, n.º 01 (2022): 01–09. http://dx.doi.org/10.56933/pharmaspire.2022.14101.
Texto completoArooj, Qudsia, Gregory J. Wilson y Feng Wang. "Methodologies in Spectral Tuning of DSSC Chromophores through Rational Design and Chemical-Structure Engineering". Materials 12, n.º 24 (4 de diciembre de 2019): 4024. http://dx.doi.org/10.3390/ma12244024.
Texto completoChikhale, Hemant U. "PERSPECTIVE INSIGHT AND APPLICATION OF IN-SILICO TOOL AS VIRTUAL SCREENING METHOD FOR LEAD DESIGNING AND DEVELOPMENT". Journal of Medical pharmaceutical and allied sciences 11, n.º 6 (15 de noviembre de 2021): 16–24. http://dx.doi.org/10.22270/jmpas.v10i6.1908.
Texto completoDrummond, Michael L., Andrew Henry, Huifang Li y Christopher I. Williams. "Improved Accuracy for Modeling PROTAC-Mediated Ternary Complex Formation and Targeted Protein Degradation via New In Silico Methodologies". Journal of Chemical Information and Modeling 60, n.º 10 (24 de septiembre de 2020): 5234–54. http://dx.doi.org/10.1021/acs.jcim.0c00897.
Texto completoSantos, Joana, Miguel Cardoso, Irina S. Moreira, João Gonçalves, João D. G. Correia, Sandra Cabo Verde y Rita Melo. "Integrated in Silico and Experimental Approach towards the Design of a Novel Recombinant Protein Containing an Anti-HER2 scFv". International Journal of Molecular Sciences 22, n.º 7 (29 de marzo de 2021): 3547. http://dx.doi.org/10.3390/ijms22073547.
Texto completoYadav, 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 completoDi Lorenzo, Chiara, Mario Dell'Agli, Elisa Colombo, Enrico Sangiovanni y Patrizia Restani. "Metabolic Syndrome and Inflammation: A Critical Review ofIn Vitroand Clinical Approaches for Benefit Assessment of Plant Food Supplements". Evidence-Based Complementary and Alternative Medicine 2013 (2013): 1–10. http://dx.doi.org/10.1155/2013/782461.
Texto completoSchaack, Dominik, Markus A. Weigand y Florian Uhle. "Comparison of machine-learning methodologies for accurate diagnosis of sepsis using microarray gene expression data". PLOS ONE 16, n.º 5 (17 de mayo de 2021): e0251800. http://dx.doi.org/10.1371/journal.pone.0251800.
Texto completoChen, Qi, Xianwen Meng, Qi Liao y Ming Chen. "Versatile interactions and bioinformatics analysis of noncoding RNAs". Briefings in Bioinformatics 20, n.º 5 (4 de junio de 2019): 1781–94. http://dx.doi.org/10.1093/bib/bby050.
Texto completoAgarwal, A., P. N. Pushparaj, G. Ahmad, M. Abu-Elmagd, M. Assidi, E. S. Sabanegh y R. Sharma. "Deciphering the sperm proteins associated with infertility in men with hodgkin’s disease using mass spectrometry and in silico methodologies". Fertility and Sterility 108, n.º 3 (septiembre de 2017): e192. http://dx.doi.org/10.1016/j.fertnstert.2017.07.567.
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 completoShukla, Pratibha, Deepa Deswal, Chandra S. Azad y Anudeep K. Narula. "Novel nucleosides as potential inhibitors of fungal lanosterol 14α-demethylase: an in vitro and in silico study". Future Medicinal Chemistry 11, n.º 20 (octubre de 2019): 2663–86. http://dx.doi.org/10.4155/fmc-2019-0014.
Texto completoRibeiro, Frederico F., Francisco J. B. M. Junior, Marcelo S. da Silva, Marcus Tullius Scotti y Luciana Scotti. "Computational and Investigative Study of Flavonoids Active against Trypanosoma cruzi and Leishmania spp". Natural Product Communications 10, n.º 6 (junio de 2015): 1934578X1501000. http://dx.doi.org/10.1177/1934578x1501000630.
Texto completoRam, Rebecca N., Domenico Gadaleta y Timothy E. H. Allen. "The role of ‘big data’ and ‘in silico’ New Approach Methodologies (NAMs) in ending animal use – A commentary on progress". Computational Toxicology 23 (agosto de 2022): 100232. http://dx.doi.org/10.1016/j.comtox.2022.100232.
Texto completoLee, Kyeonghee Monica, Richard Corley, Annie M. Jarabek, Nicole Kleinstreuer, Alicia Paini, Andreas O. Stucki y Shannon Bell. "Advancing New Approach Methodologies (NAMs) for Tobacco Harm Reduction: Synopsis from the 2021 CORESTA SSPT—NAMs Symposium". Toxics 10, n.º 12 (6 de diciembre de 2022): 760. http://dx.doi.org/10.3390/toxics10120760.
Texto completoCicaloni, Vittoria, Alfonso Trezza, Francesco Pettini y Ottavia Spiga. "Applications of in Silico Methods for Design and Development of Drugs Targeting Protein-Protein Interactions". Current Topics in Medicinal Chemistry 19, n.º 7 (31 de mayo de 2019): 534–54. http://dx.doi.org/10.2174/1568026619666190304153901.
Texto completoParladé, Eloi, Eric Voltà-Durán, Olivia Cano-Garrido, Julieta M. Sánchez, Ugutz Unzueta, Hèctor López-Laguna, Naroa Serna et al. "An In Silico Methodology That Facilitates Decision Making in the Engineering of Nanoscale Protein Materials". International Journal of Molecular Sciences 23, n.º 9 (29 de abril de 2022): 4958. http://dx.doi.org/10.3390/ijms23094958.
Texto completoWu, Xunxun, Xiaokun Li, Chunxue Yang y Yong Diao. "Target Characterization of Kaempferol against Myocardial Infarction Using Novel In Silico Docking and DARTS Prediction Strategy". International Journal of Molecular Sciences 22, n.º 23 (29 de noviembre de 2021): 12908. http://dx.doi.org/10.3390/ijms222312908.
Texto completoJohnson, Dale. "Biotherapeutics: Challenges and Opportunities for Predictive Toxicology of Monoclonal Antibodies". International Journal of Molecular Sciences 19, n.º 11 (21 de noviembre de 2018): 3685. http://dx.doi.org/10.3390/ijms19113685.
Texto completoZhou, Ying, Guoyou Gan, Jianhong Yi, Yumin Lai, Yingwu Wang, Jian Gao y Zhiping Wang. "Research status of the rare and precious metals’ Materials Genome Initiative". Journal of Micromechanics and Molecular Physics 05, n.º 02 (junio de 2020): 2040002. http://dx.doi.org/10.1142/s2424913020400020.
Texto completo