Multi Gene Genetic Program Modelling on L-Asparaginase Activity of Bacillus Stratosphericus

References

[1] Miles SH. The Hippocratic Oath and the ethics of medicine. Oxford University Press, 2005. ISBN-10: 0195188209, ISBN-13: 978-0195188202.https://global.oup.com/academic/product/the-hippocratic-oath-and-the-ethics-of-medicine-9780195188202?cc=in&lang=en&Search in Google Scholar

[2] David AR, Zimmerman MR. Cancer: an old disease, a new disease or something in between? Nat Rev Cancer. 2010;10:728.10.1038/nrc2914Search in Google Scholar

[3] Kardinal CG, Yarbro JW. A conceptual history of cancer. In: Paper presented at the Seminars in Oncology, 1979.Search in Google Scholar

[4] Chaffer CL, Weinberg RA. A perspective on cancer cell metastasis. science. 2011;331:1559–64.10.1126/science.1203543Search in Google Scholar

[5] Hanahan D, Weinberg RA. The hallmarks of cancer. Cell. 2000;100:57–70.10.1093/med/9780199656103.003.0001Search in Google Scholar

[6] Liotta LA, Steeg PS, Stetler-Stevenson WG. Cancer metastasis and angiogenesis: an imbalance of positive and negative regulation. Cell. 1991;64:327–36.10.1016/0092-8674(91)90642-CSearch in Google Scholar

[7] Chambers AF, Groom AC, MacDonald IC. Metastasis: dissemination and growth of cancer cells in metastatic sites. Nat Rev Cancer. 2002;2:563.10.1038/nrc865Search in Google Scholar

[8] Folkman J. Role of angiogenesis in tumor growth and metastasis. In: Paper presented at the Seminars in oncology, 2002.10.1016/S0093-7754(02)70065-1Search in Google Scholar

[9] American Cancer Society. Cancer facts & figures. The Society, 2008.Search in Google Scholar

[10] Lichtenstein P, Holm NV, Verkasalo PK, Iliadou A, Kaprio J, Koskenvuo M, et al. Environmental and heritable factors in the causation of cancer—analyses of cohorts of twins from Sweden, Denmark, and Finland. N Engl J Med. 2000;343:78–85.10.1056/NEJM200007133430201Search in Google Scholar

[11] Tibshirani R, Hastie T, Narasimhan B, Chu G. Diagnosis of multiple cancer types by shrunken centroids of gene expression. Proc Natl Acad Sci. 2002;99:6567–72.10.1073/pnas.082099299Search in Google Scholar

[12] Wiemels J, Cazzaniga G, Daniotti M, Eden O, Addison G, Masera G, et al. Prenatal origin of acute lymphoblastic leukaemia in children. The Lancet. 1999;354:1499–503.10.1016/S0140-6736(99)09403-9Search in Google Scholar

[13] Vardiman JW, Harris NL, Brunning RD. The World Health Organization (WHO) classification of the myeloid neoplasms. Blood. 2002;100:2292–302.10.1182/blood-2002-04-1199Search in Google Scholar PubMed

[14] Pui C-H. Acute lymphoblastic leukemia. Springer, 2011. DOI:10.1007/978-3-642-16483-5_57.Search in Google Scholar

[15] Pui C-H, Evans WE. Treatment of acute lymphoblastic leukemia. N Engl J Med. 2006;354:166–78.10.1056/NEJMra052603Search in Google Scholar PubMed

[16] Durthi CP, Pola M, Kola AK, Rajulapati SB. Screening, optimization of culture conditions and scale-up for production of the L-Glutaminase by novel isolated Bacillus sps. mutant endophyte using response surface methodology. Biocatal Agric Biotechnol. 2019;18:101077.10.1016/j.bcab.2019.101077Search in Google Scholar

[17] Vanneman M, Dranoff G. Combining immunotherapy and targeted therapies in cancer treatment. Nat Rev Cancer. 2012;12:237.10.1038/nrc3237Search in Google Scholar PubMed PubMed Central

[18] Jain R, Zaidi K, Verma Y, Saxena P. L-Asparaginase: a promising enzyme for treatment of acute lymphoblastic leukiemia. People’s J Sci Res. 2012;5:29–35.Search in Google Scholar

[19] Pieters R, Hunger SP, Boos J, Rizzari C, Silverman L, Baruchel A, et al. L-asparaginase treatment in acute lymphoblastic leukemia: a focus on Erwinia asparaginase. Cancer. 2011;117:238–49.10.1002/cncr.25489Search in Google Scholar PubMed PubMed Central

[20] Campbell H, Mashburn L, Boyse E, Old L. Two L-asparaginases from Escherichia coli B. Their separation, purification, and antitumor activity. Biochemistry. 1967;6:721–30.10.1021/bi00855a011Search in Google Scholar PubMed

[21] Capizzi R, Bertino J, Handschumacher R. L-asparaginase. Annu Rev Med. 1970;21:433–44.10.1146/annurev.me.21.020170.002245Search in Google Scholar PubMed

[22] Cooney D, Handschumacher R. L-asparaginase and L-asparagine metabolism. Annu Rev Pharmacol. 1970;10:421–40.10.1146/annurev.pa.10.040170.002225Search in Google Scholar PubMed

[23] Kaelin WG, Jr, Thompson CB. Q&A: Cancer: clues from cell metabolism. Nature. 2010;465:562.10.1038/465562aSearch in Google Scholar PubMed

[24] El-Naggar NE, El-Ewasy SM, El-Shweihy NM. Microbial L-asparaginase as a potential therapeutic agent for the treatment of acute lymphoblastic leukemia: the Pros and Cons. Int J Pharm. 2014;10:182–99.10.3923/ijp.2014.182.199Search in Google Scholar

[25] Ramya L, Doble M, Rekha V, Pulicherla K. L-Asparaginase as potent anti-leukemic agent and its significance of having reduced glutaminase side activity for better treatment of acute lymphoblastic leukaemia. Appl Biochem Biotechnol. 2012;167:2144–59.10.1007/s12010-012-9755-zSearch in Google Scholar

[26] El-Bessoumy AA, Sarhan M, Mansour J. Production, isolation, and purification of L-asparaginase from Pseudomonas aeruginosa 50071 using solid-state fermentation. BMB Rep. 2004;37:387–93.10.5483/BMBRep.2004.37.4.387Search in Google Scholar

[27] Asthana N, Azmi W. Microbial L-asparaginase: a potent antitumour enzyme, 2003.Search in Google Scholar

[28] Durthi CP, Pola M, Podha S, Rajulapati SB. Genetic algorithm optimization of L-Glutaminase from novel mutated Bacillus sps. Curr Trends Biotechnol Pharm. 2019;13:50–7.Search in Google Scholar

[29] Jozala AF, Geraldes DC, Tundisi LL, Feitosa VD, Breyer CA, Cardoso SL, et al. Biopharmaceuticals from microorganisms: from production to purification. Braz J Microbiol. 2016;47:51–63.10.1016/j.bjm.2016.10.007Search in Google Scholar

[30] Müller HJ, Löning L, Horn A, Schwabe D, Gunkel M, Schrappe M, et al. Pegylated asparaginase (OncasparTM) in children with ALL: drug monitoring in reinduction according to the ALL/NHL-BFM 95 protocols. Br J Haematol. 2000;110:379–84.10.1046/j.1365-2141.2000.02187.xSearch in Google Scholar

[31] Vimal A, Kumar A. Biotechnological production and practical application of L-asparaginase enzyme. Biotechnol Genet Eng Rev. 2017;33:40–61.10.1080/02648725.2017.1357294Search in Google Scholar

[32] Pola M, Rajulapati SB, Durthi CP, Erva RR, Bhatia M. In silico modelling and molecular dynamics simulation studies on L-Asparaginase isolated from bacterial endophyte of Ocimum tenuiflorum. Enzyme Microb Technol. 2018;117:32–40.10.1016/j.enzmictec.2018.06.005Search in Google Scholar

[33] Owen NL, Hundley N. Endophytes–the chemical synthesizers inside plants. Sci Prog. 2004;87:79–99.10.3184/003685004783238553Search in Google Scholar

[34] Strobel GA. Endophytes as sources of bioactive products. Microbes Infect. 2003;5:535–44.10.1016/S1286-4579(03)00073-XSearch in Google Scholar

[35] Petrini O. Fungal endophytes of tree leaves. In: Andrews JH, Hirano SS. editors. Microbial ecology of leaves. New York, NY:Springer, 1991:179–97.10.1007/978-1-4612-3168-4_9Search in Google Scholar

[36] Cragg GM, Newman DJ. Plants as a source of anti-cancer agents. J Ethnopharmacol. 2005;100:72–9.10.1016/j.jep.2005.05.011Search in Google Scholar PubMed

[37] Weaver BA. How Taxol/paclitaxel kills cancer cells. Mol Biol Cell. 2014;25:2677–81.10.1091/mbc.e14-04-0916Search in Google Scholar PubMed PubMed Central

[38] Pangestuti R, Kim S-K. Biological activities and health benefit effects of natural pigments derived from marine algae. J Funct Foods. 2011;3:255–66.10.1016/j.jff.2011.07.001Search in Google Scholar

[39] Alam S, Ahmad R, Pranaw K, Mishra P, Khare SK. Asparaginase conjugated magnetic nanoparticles used for reducing acrylamide formation in food model system. Bioresour Technol. 2018;269:121–6.10.1016/j.biortech.2018.08.095Search in Google Scholar PubMed

[40] Zaheer K, Akhtar MH. Potato production, usage, and nutrition—a review. Crit Rev Food Sci Nutr. 2016;56:711–21.10.1080/10408398.2012.724479Search in Google Scholar PubMed

[41] Xu F, Oruna-Concha M-J, Elmore JS. The use of asparaginase to reduce acrylamide levels in cooked food. Food Chem. 2016;210:163–71.10.1016/j.foodchem.2016.04.105Search in Google Scholar PubMed

[42] Izadpanah F, Homaei A, Fernandes P, Javadpour S. Marine microbial L-asparaginase: biochemistry, molecular approaches and applications in tumor therapy and in food industry. Microbiol Res. 2018;208:99–112.10.1016/j.micres.2018.01.011Search in Google Scholar PubMed

[43] Liu J, Liu X, Man Y, Liu Y. Reduction of acrylamide content in bread crust by starch coating. J Sci Food Agric. 2018;98:336–45.10.1002/jsfa.8476Search in Google Scholar PubMed

[44] Pola M, Durthi CP, Rajulapati SB, Reddy Erva R. Modelling and optimization of L-Asparaginase production from Bacillus stratosphericus. Curr Trends Biotechnol Pharm. 2018;12:390–405.Search in Google Scholar

[45] Belew RK. Adaptive individuals in evolving populations: models and algorithms. Routledge, 2018. ISBN 9780201483697.10.4324/9780429502903Search in Google Scholar

[46] Khan GM. Evolutionary computation. In: Evolution of artificial neural development. Springer, 2018:29–37. https://link.springer.com/book/10.1007/978-3-319-67466-7.10.1007/978-3-319-67466-7_3Search in Google Scholar

[47] Liu L, Shao L, Li X, Lu K. Learning spatio-temporal representations for action recognition: a genetic programming approach. IEEE Trans cybern. 2016;46:158–70.10.1109/TCYB.2015.2399172Search in Google Scholar PubMed

[48] Bahrami P, Kazemi P, Mahdavi S, Ghobadi H. A novel approach for modeling and optimization of surfactant/polymer flooding based on genetic programming evolutionary algorithm. Fuel. 2016;179:289–98.10.1016/j.fuel.2016.03.095Search in Google Scholar

[49] Galán CO, Lasheras FS, de Cos Juez FJ, Sánchez AB. Missing data imputation of questionnaires by means of genetic algorithms with different fitness functions. J Comput Appl Math. 2017;311:704–17.10.1016/j.cam.2016.08.012Search in Google Scholar

[50] Pal SK, Wang PP. Genetic algorithms for pattern recognition. CRC press, 2017. ISBN 1351364499.10.1201/9780203713402Search in Google Scholar

[51] Das D, Pratihar DK, Roy GG, Pal AR. Phenomenological model-based study on electron beam welding process, and input-output modeling using neural networks trained by back-propagation algorithm, genetic algorithms, particle swarm optimization algorithm and bat algorithm. Appl Intell. 2018;48:2698–718.10.1007/s10489-017-1101-2Search in Google Scholar

[52] Gandomi AH, Sajedi S, Kiani B, Huang Q. Genetic programming for experimental big data mining: a case study on concrete creep formulation. Autom Constr. 2016;70:89–97.10.1016/j.autcon.2016.06.010Search in Google Scholar

[53] Metenidis MF, Witczak M, Korbicz J. A novel genetic programming approach to nonlinear system modelling: application to the DAMADICS benchmark problem. Eng Appl Artif Intell. 2004;17:363–70.10.1016/j.engappai.2004.04.009Search in Google Scholar

[54] Gandomi AH, Alavi AH. Multi-stage genetic programming: a new strategy to nonlinear system modeling. Inf Sci. 2011;181:5227–39.10.1016/j.ins.2011.07.026Search in Google Scholar

[55] Koza JR. Genetic programming as a means for programming computers by natural selection. Stat Comput. 1994;4:87–112.10.1007/BF00175355Search in Google Scholar

[56] Pawlak TP, Wieloch B, Krawiec K. Semantic backpropagation for designing search operators in genetic programming. IEEE Trans Evol Comput. 2015;19:326–40.10.1109/TEVC.2014.2321259Search in Google Scholar

[57] Wang P, Emmerich M, Li R, Tang K, Bäck T, Yao X. Convex hull-based multiobjective genetic programming for maximizing receiver operating characteristic performance. IEEE Trans Evol Comput. 2015;19:188–200.10.1109/TEVC.2014.2305671Search in Google Scholar

[58] Irrthum A, Wehenkel L, Geurts P. Inferring regulatory networks from expression data using tree-based methods. PLoS One. 2010;5:e12776.10.1371/journal.pone.0012776Search in Google Scholar PubMed PubMed Central

[59] Oltean M, Grosan C. A comparison of several linear genetic programming techniques. Complex Syst. 2003;14:285–314.Search in Google Scholar

[60] Crosbie M, Spafford G. Applying genetic programming to intrusion detection. In: Paper presented at the Working Notes for the AAAI Symposium on Genetic Programming, 1995.Search in Google Scholar

[61] Searson DP, Leahy DE, Willis MJ. GPTIPS: an open source genetic programming toolbox for multigene symbolic regression. In: Paper presented at the Proceedings of the International multiconference of engineers and computer scientists, 2010.Search in Google Scholar

[62] Searson DP. GPTIPS 2: an open-source software platform for symbolic data mining. In: Gandomi A, Alavi A, Ryan C, editors. Handbook of genetic programming applications. Springer, 2015:551–73. https://link.springer.com/book/10.1007/978-3-319-20883-1.10.1007/978-3-319-20883-1_22Search in Google Scholar

[63] Garg A, Tai K. Review of genetic programming in modeling of machining processes. In: Paper presented at the Modelling, Identification & Control (ICMIC), 2012 Proceedings of International Conference on, 2012.Search in Google Scholar

[64] Garg A, Tai K. Selection of a robust experimental design for the effective modeling of nonlinear systems using genetic programming. In: Paper presented at the 2013 IEEE symposium on computational intelligence and data mining (CIDM), 2013.10.1109/CIDM.2013.6597249Search in Google Scholar