Page 105 - ITPS-7-1
P. 105

INNOSC Theranostics and
            Pharmacological Sciences                                               Plants immunoactivity: In silico study



            28.  Oliveros JC, 2007,  VENNY. An Interactive Tool for   e1002820.
               Comparing Lists with Venn Diagrams. Available from:      https://doi.org/10.1371/journal.pcbi.1002820
               https://bioinfogp.cnb.csic.es/tools/venny/index.html [Last
               accessed on 2021 Jul 10].                       40.  Gupta M, Sharma R, Kumar A, 2018, Docking techniques in
                                                                  pharmacology: How much promising? Comput Biol Chem,
            29.  Szklarczyk D, Franceschini A, Wyder S, et al., 2015, STRING   76: 210–217.
               v10: Protein-protein interaction networks, integrated over
               the tree of life. Nucleic Acids Res, 43: D447–D452.      https://doi.org/10.1016/j.compbiolchem.2018.06.005
               https://doi.org/10.1093/nar/gku1003             41.  Cohen OC, Shadmi E, Keinan-Boker L,  et al., 2019, The
                                                                  association between patients’ perceived continuity of care
            30.  Shannon P, Markiel A, Ozier O, et al., 2003, Cytoscape:   and beliefs about oral anticancer treatment. Supportive Care
               A  software environment for integrated models of   Cancer, 27: 3545–3553.
               biomolecular  interaction  networks.  Genome Res,
               13: 2498–2504.                                     https://doi.org/10.1007/s00520-019-04668-6
               https://doi.org/10.1101/gr.1239303              42.  Medzhitov R, 2007, Recognition of microorganisms and
                                                                  activation of the immune response. Nature, 449: 819–826.
            31.  Afolayan FID, Tarkaa CT, 2023, Network pharmacology-
               based assessment of anti-inflammatory action of      https://doi.org/10.1038/nature06246
               phytocompounds derived from Nigella sativa and Moringa   43.  Ramakrishnan  V,  Kumar  S,  2018,  PI3K/AKT/mTOR
               oleifera. Drug Discov, 17: e13dd1016.              pathway in multiple myeloma: From basic biology to clinical
            32.  Barabasi AL, Oltvai ZN, 2004, Network biology:   promise. Leuk Lymphoma, 59: 2524–2534.
               Understanding the cell’s functional organization.  Nat  Rev      https://doi.org/10.1080/10428194.2017.1421760
               Genet, 5: 101–113.
                                                               44.  McDonald SJ, Sharkey JM, Sun M, et al., 2020, Beyond the
               https://doi.org/10.1038/nrg1272                    brain: Peripheral interactions after traumatic brain injury.
            33.  Reimand J, Kull M, Peterson H, et al., 2007, g: Profiler--a   J Neurotrauma, 37: 770–781.
               web-based toolset for functional profiling of gene lists from      https://doi.org/10.1089/neu.2019.6885
               large-scale experiments. Nucleic Acids Res, 35: W193–W200.
                                                               45.  Kawai  T,  Akira  S,  2007,  Signaling  to  NF-κB  by  Toll-like
               https://doi.org/10.1093/nar/gkm226                 receptors. Trends Mol Med, 13: 460–469.
            34.  Swamydas M, Murphy EV, Ignatz-Hoover JJ,  et al., 2022,      https://doi.org/10.1016/j.molmed.2007.09.002
               Deciphering mechanisms of immune escape to inform
               immunotherapeutic  strategies  in multiple myeloma.   46.  Napetschnig J, Wu H, 2013, Molecular basis of NF-κB
               J Hematol Oncol, 15: 17.                           signaling. Annu Rev Biophys, 42: 443–468.
               https://doi.org/10.1186/s13045-022-01234-2         https://doi.org/10.1146/annurev-biophys-083012-130338
            35.  Dallakyan S, Olson AJ, 2015, Small-molecule library   47.  O’Shea JJ, Plenge R, 2012, JAK and STAT signaling
               screening by docking with PyRx.  Methods Mol Biol,   molecules in immunoregulation and immune-mediated
               1263: 243–250.                                     disease. Immunity, 36: 542–550.
                                                                  https://doi.org/10.1016/j.immuni.2012.03.014
               https://doi.org/10.1007/978-1-4939-2269-7_19
            36.  BIOVIA, 2022, BIOVIA Workbook, Release 2020: BIOVIA   48.  Hu YS, Han X, Liu XH, 2019, STAT3: A  potential drug
               Pipeline Pilot, Release 2022. San Diego: Dassault Systèmes.  target for tumor and inflammation. Curr Top Med Chem,
                                                                  19: 1305–1317.
            37.  Eberhardt J, Santos-Martins D, Tillack AF,  et al., 2021,
               AutoDock vina 1.2.0: New docking methods, expanded      https://doi.org/10.2174/1568026619666190620145052
               force field, and python bindings.  J  Chem Inform Model,   49.  Ismail SI, Mahmoud IS, Msallam MM, 2010, Hotspot
               61: 3891–3898.                                     mutations of PIK3CA and AKT1 genes are absent in
               https://doi.org/10.1021/acs.jcim.1c00203           multiple myeloma. Leuk Res, 34: 824–826.
                                                                  https://doi.org/10.1016/j.leukres.2009.11.018
            38.  Sahu N, Mishra S, Kesheri M, et al., 2022, Identification of
               Cyanobacteria-based natural inhibitors against SARS-CoV-2   50.  Chang H, Qi XY, Claudio J, 2006, Analysis of PTEN deletions
               druggable target ACE2 using molecular docking study, ADME   and mutations in multiple myeloma. Leuk Res, 30: 262–265.
               and toxicity analysis. Indian J Clin Biochem, 38: 361–373.
                                                                  https://doi.org/10.1016/j.leukres.2005.07.008
               https://doi.org/10.1007/s12291-022-01056-6
                                                               51.  Peterson TR, Laplante M, Thoreen CC, 2009, DEPTOR is an
            39.  Cho DY, Kim YA, Przytycka TM, 2012, Chapter 5: Network   mTOR inhibitor frequently overexpressed in multiple myeloma
               biology approach to complex diseases. PLoS Comput Biol, 8:   cells and required for their survival. Cell, 137: 873–886.


            Volume 7 Issue 1 (2024)                         16                        https://doi.org/10.36922/itps.1076
   100   101   102   103   104   105   106   107   108   109   110