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Current Topics in Medicinal Chemistry

Author(s): Anuraj Nayarisseri*

DOI: 10.2174/156802662023201001094634

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Most Promising Compounds for Treating COVID-19 and Recent Trends in Antimicrobial & Antifungal Agents

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Abstract

Multidrug resistance in microbes poses a major health crisis and demands for the discovery of novel antimicrobial agents. The recent pandemic of SARS-CoV-2 has raised a public health emergency in almost all the countries of the world. Unlike viruses, a bacterium plays a significant role in various environmental issues such as bioremediation. Furthermore, biosurfactants produced by various bacterial species have an edge over traditionally produced chemical surfactants for its biodegradability, low toxicity and better interfacial activity with various applications in agriculture and industry. This special issue focuses on the global perspective of drug discovery for various antimicrobial, antiviral, and antifungal agents for infectious diseases. The issue also emphasizes the ongoing developments and the role of microbes in environmental remediation. We wish the articles published in this issue will enhance the current understanding in microbiology among the readers, and serve as the "seed of an idea" for drug development for ongoing COVID-19 pandemic.

Keywords: Antiviral agents, Antimicrobial agents, Antifungal agents, COVID-19, COVID-19 inhibitors, Remdesivir, nCorvEMBS.

[1]
Bakheet, T.M.; Doig, A.J. Properties and identification of antibiotic drug targets. BMC Bioinformatics, 2010, 11(1), 195.
[PMID: 20406434]
[2]
Cal, P.M.; Matos, M.J.; Bernardes, G.J. Trends in therapeutic drug conjugates for bacterial diseases: a patent review. Expert Opin. Ther. Pat., 2017, 27(2), 179-189.
[PMID: 27828733]
[3]
Tabish, S.A. Recent trends in emerging infectious diseases. Int. J. Health Sci., 2009, 3(2)
[4]
Spaan, W.; Cavanagh, D.; Horzinek, M.C. Coronaviruses: structure and genome expression. J. Gen. Virol., 1988, 69(Pt 12), 2939-2952.
[PMID: 3058868]
[5]
Limaye, A.; Sweta, J.; Madhavi, M.; Mudgal, U.; Mukherjee, S.; Sharma, S.; Hussain, T.; Nayarisseri, A.; Singh, S.K. In silico insights on gd2: a potential target for pediatric neuroblastoma. Curr. Top. Med. Chem., 2019, 19(30), 2766-2781.
[http://dx.doi.org/10.2174/1568026619666191112115333 ] [PMID: 31721713]
[6]
Sinha, K.; Majhi, M.; Thakur, G.; Patidar, K.; Sweta, J.; Hussain, T.; Nayarisseri, A.; Singh, S.K. Computer-aided drug designing for the identification of high-affinity small molecule targeting cd20 for the clinical treatment of chronic lymphocytic leukemia (CLL). Curr. Top. Med. Chem., 2018, 18(29), 2527-2542.
[http://dx.doi.org/10.2174/1568026619666181210150044 ] [PMID: 30526461]
[7]
Nayarisseri, A. Prospects of utilizing computational techniques for the treatment of human diseases. Curr. Top. Med. Chem., 2019, 19(13), 1071-1074.
[http://dx.doi.org/10.2174/156802661913190827102426 ] [PMID: 31490742]
[8]
Bandaru, S.; Sumithnath, T.G.; Sharda, S.; Lakhotia, S.; Sharma, A.; Jain, A.; Hussain, T.; Nayarisseri, A.; Singh, S.K. Helix-coil transition signatures b-raf v600e mutation and virtual screening for inhibitors directed against mutant b-raf. Curr. Drug Metab., 2017, 18(6), 527-534.
[http://dx.doi.org/10.2174/1389200218666170503114611 ] [PMID: 28472910]
[9]
Nasr, A.B.; Ponnala, D.; Sagurthi, S.R.; Kattamuri, R.K.; Marri, V.K.; Gudala, S.; Lakkaraju, C.; Bandaru, S.; Nayarisseri, A. Molecular Docking studies of FKBP12-mTOR inhibitors using binding predictions. Bioinformation, 2015, 11(6), 307-315.
[http://dx.doi.org/10.6026/97320630011307 ] [PMID: 26229292]
[10]
Dunna, N.R.; Kandula, V.; Girdhar, A.; Pudutha, A.; Hussain, T.; Bandaru, S.; Nayarisseri, A. High affinity pharmacological profiling of dual inhibitors targeting RET and VEGFR2 in inhibition of kinase and angiogeneis events in medullary thyroid carcinoma. Asian Pac. J. Cancer Prev., 2015, 16(16), 7089-7095.
[http://dx.doi.org/10.7314/APJCP.2015.16.16.7089 ] [PMID: 26514495]
[11]
Sinha, C.; Nischal, A.; Bandaru, S.; Kasera, P.; Rajput, A.; Nayarisseri, A.; Khattri, S. An in silico approach for identification of novel inhibitors as a potential therapeutics targeting HIV-1 viral infectivity factor. Curr. Top. Med. Chem., 2015, 15(1), 65-72.
[http://dx.doi.org/10.2174/1568026615666150112114337 ] [PMID: 25579575]
[12]
Sinha, C.; Nischal, A.; Pant, K.K.; Bandaru, S.; Nayarisseri, A.; Khattri, S. Molecular docking analysis of RN18 and VEC5 in A3G-Vif inhibition. Bioinformation, 2014, 10(10), 611-616.
[http://dx.doi.org/10.6026/97320630010611 ] [PMID: 25489169]
[13]
Bandaru, S.; Marri, V.K.; Kasera, P.; Kovuri, P.; Girdhar, A.; Mittal, D.R.; Ikram, S.; Gv, R.; Nayarisseri, A. Structure based virtual screening of ligands to identify cysteinyl leukotriene receptor 1 antagonist. Bioinformation, 2014, 10(10), 652-657.
[http://dx.doi.org/10.6026/97320630010652 ] [PMID: 25489175]
[14]
Dunna, N.R.; Bandaru, S.; Akare, U.R.; Rajadhyax, S.; Gutlapalli, V.R.; Yadav, M.; Nayarisseri, A. Multiclass comparative virtual screening to identify novel Hsp90 inhibitors: a therapeutic breast cancer drug target. Curr. Top. Med. Chem., 2015, 15(1), 57-64.
[http://dx.doi.org/10.2174/1568026615666150112113627 ] [PMID: 25579569]
[15]
Bandaru, S.; Ponnala, D.; Lakkaraju, C.; Bhukya, C.K.; Shaheen, U.; Nayarisseri, A. Identification of high affinity non-peptidic small molecule inhibitors of MDM2-p53 interactions through structure-based virtual screening strategies. Asian Pac. J. Cancer Prev., 2015, 16(9), 3759-3765.
[http://dx.doi.org/10.7314/APJCP.2015.16.9.3759 ] [PMID: 25987034]
[16]
Akare, U.R.; Bandaru, S.; Shaheen, U.; Singh, P.K.; Tiwari, G.; Singare, P.; Nayarisseri, A.; Banerjee, T. Molecular docking approaches in identification of High affinity inhibitors of Human SMO receptor. Bioinformation, 2014, 10(12), 737-742.
[http://dx.doi.org/10.6026/97320630010737 ] [PMID: 25670876]
[17]
Bandaru, S.; Alvala, M.; Akka, J.; Sagurthi, S.R.; Nayarisseri, A.; Singh, S.K.; Mundluru, H.P. Identification of small molecule as a high affinity β2 agonist promiscuously targeting wild and mutated (Thr164Ile) β 2 adrenergic receptor in the treatment of bronchial asthma. Curr. Pharm. Des., 2016, 22(34), 5221-5233.
[http://dx.doi.org/10.2174/1381612822666160513145721 ] [PMID: 27174812]
[18]
Ali, M.A.; Vuree, S.; Goud, H.; Hussain, T.; Nayarisseri, A.; Singh, S.K. Identification of high-affinity small molecules targeting gamma secretase for the treatment of alzheimer’s disease. Curr. Top. Med. Chem., 2019, 19(13), 1173-1187.
[http://dx.doi.org/10.2174/1568026619666190617155326 ] [PMID: 31244427]
[19]
Bandaru, S.; Prasad, M.H.; Jyothy, A.; Nayarisseri, A.; Yadav, M. Binding modes and pharmacophoric features of muscarinic antagonism and β2 agonism (MABA) conjugates. Curr. Top. Med. Chem., 2013, 13(14), 1650-1655.
[http://dx.doi.org/10.2174/15680266113139990115 ] [PMID: 23889054]
[20]
Al-Gheethi, A.; Noman, E.; Al-Maqtari, Q. A.; Hezam, K.; Mohamed, R.; Talip, B.; Ismail, N. Novel coronavirus (2019-ncov) outbreak; a systematic review for published papers a systematic review for published papers. The Lancet , 2020.(Online ahead of print),
[21]
Wang, M.; Cao, R.; Zhang, L.; Yang, X.; Liu, J.; Xu, M.; Shi, Z.; Hu, Z.; Zhong, W.; Xiao, G. Remdesivir and chloroquine effectively inhibit the recently emerged novel coronavirus (2019-nCoV) in vitro. Cell Res., 2020, 30(3), 269-271.
[http://dx.doi.org/10.1038/s41422-020-0282-0 ] [PMID: 32020029]
[22]
Nayarisseri, A.; Singh, P.; Singh, S.K. Screening, isolation and characterization of biosurfactant producing Bacillus subtilis strain ANSKLAB03. Bioinformation, 2018, 14(6), 304-314.
[http://dx.doi.org/10.6026/97320630014304 ] [PMID: 30237676]
[23]
Nadh, G. Identification of azo dye degrading Sphingomonas strain EMBS022 and EMBS023 using 16S rRNA gene sequencing. Curr. Bioinform., 2015, 10(5), 599-605.
[http://dx.doi.org/10.2174/1574893610666151008012312]
[24]
Wishard, R.; Jaiswal, M.; Parveda, M.; Amareshwari, P.; Bhadoriya, S.S.; Rathore, P.; Yadav, M.; Nayarisseri, A.; Nair, A.S. Identification and characterization of alkaline protease producing Bacillus firmus species EMBS023 by 16S rRNA gene sequencing. Interdiscip. Sci., 2014, 6(4), 271-278.
[http://dx.doi.org/10.1007/s12539-014-0187-z ] [PMID: 25118655]
[25]
Nayarisseri, A.; Suppahia, A.; Nadh, A.G.; Nair, A.S. Identification and characterization of a pesticide degrading Flavobacterium species EMBS0145 by 16S rRNA gene sequencing. Interdiscip. Sci., 2015, 7(2), 93-99.
[PMID: 26202942]
[26]
Nayarisseri, A. Impact of Next-Generation Whole-Exome sequencing in molecular diagnostics. Drug Invention Today, 2013, 5(4), 327-334.
[27]
Nayarisseri, A.; Singh, P.; Singh, S. Screening, isolation and characterization of biosurfactant-producing Bacillus tequilensis strain ANSKLAB04 from brackish river water. Int. J. Environ. Sci. Technol., 2018, 16(11), 7103-7112.
[28]
Shah, K.P. Screening, isolation and identification of polygalacturonase producing Bacillus tequilensis strain EMBS083 using 16S rRNA gene sequencing Eur J Biol Sci , 2013, 5(1), 09-13.
[29]
Nayarisseri, A.; Moghni, S.M.; Yadav, M.; Kharate, J.; Sharma, P.; Chandok, K.H.; Shah, K.P. In silico investigations on HSP90 and its inhibition for the therapeutic prevention of breast cancer. J. Pharm. Res., 2013, 7(2), 150-156.
[http://dx.doi.org/10.1016/j.jopr.2013.02.020]
[30]
Shaheen, U.; Akka, J.; Hinore, J.S.; Girdhar, A.; Bandaru, S.; Sumithnath, T.G.; Nayarisseri, A.; Munshi, A. Computer aided identification of sodium channel blockers in the clinical treatment of epilepsy using molecular docking tools. Bioinformation, 2015, 11(3), 131-137.
[http://dx.doi.org/10.6026/97320630011131 ] [PMID: 25914447]
[31]
Gudala, S.; Khan, U.; Kanungo, N.; Bandaru, S.; Hussain, T.; Parihar, M.; Nayarisseri, A.; Mundluru, H.P. Identification and pharmacological analysis of high efficacy small molecule inhibitors of EGF-EGFR interactions in clinical treatment of non-small cell lung carcinoma: A computational approach. Asian Pac. J. Cancer Prev., 2015, 16(18), 8191-8196.
[http://dx.doi.org/10.7314/APJCP.2015.16.18.8191 ] [PMID: 26745059]
[32]
Babitha, P.P.; Sahila, M.M.; Bandaru, S.; Nayarisseri, A.; Sureshkumar, S. Molecular docking and pharmacological investigations of rivastigmine-fluoxetine and coumarin-tacrine hybrids against acetyl choline esterase. Bioinformation, 2015, 11(8), 378-386.
[http://dx.doi.org/10.6026/97320630011378 ] [PMID: 26420918]
[33]
Natchimuthu, V.; Bandaru, S.; Nayarisseri, A.; Ravi, S. Design, synthesis and computational evaluation of a novel intermediate salt of N-cyclohexyl-N-(cyclohexylcarbamoyl)-4-(trifluoromethyl) benzamide as potential potassium channel blocker in epileptic paroxysmal seizures. Comput. Biol. Chem., 2016, 64, 64-73.
[http://dx.doi.org/10.1016/j.compbiolchem.2016.05.003 ] [PMID: 27266485]
[34]
Patidar, K.; Deshmukh, A.; Bandaru, S.; Lakkaraju, C.; Girdhar, A.; Vr, G.; Banerjee, T.; Nayarisseri, A.; Singh, S.K. Virtual screening approaches in identification of bioactive compounds akin to delphinidin as potential her2 inhibitors for the treatment of breast cancer. Asian Pac. J. Cancer Prev., 2016, 17(4), 2291-2295.
[http://dx.doi.org/10.7314/APJCP.2016.17.4.2291 ] [PMID: 27221932]
[35]
Sahila, M.M.; Babitha, P.P.; Bandaru, S.; Nayarisseri, A.; Doss, V.A. Molecular docking based screening of GABA (A) receptor inhibitors from plant derivatives. Bioinformation, 2015, 11(6), 280-289.
[http://dx.doi.org/10.6026/97320630011280 ] [PMID: 26229288]
[36]
Bandaru, S.; Tarigopula, P.; Akka, J.; Marri, V.K.; Kattamuri, R.K.; Nayarisseri, A.; Mangalarapu, M.; Vinukonda, S.; Mundluru, H.P.; Sagurthi, S.R. Association of beta 2 adrenergic receptor (thr164ile) polymorphism with salbutamol refractoriness in severe asthmatics from Indian population. Gene, 2016, 592(1), 15-22.
[http://dx.doi.org/10.1016/j.gene.2016.07.043 ] [PMID: 27450915]
[37]
Khandekar, N.; Singh, S.; Shukla, R.; Tirumalaraju, S.; Bandaru, S.; Banerjee, T.; Nayarisseri, A. Structural basis for the in vitro known acyl-depsipeptide 2 (ADEP2) inhibition to Clp 2 protease from Mycobacterium tuberculosis. Bioinformation, 2016, 12(3), 92-97.
[http://dx.doi.org/10.6026/97320630012092 ] [PMID: 28149041]
[38]
Bandaru, S.; Alvala, M.; Nayarisseri, A.; Sharda, S.; Goud, H.; Mundluru, H.P.; Singh, S.K. Molecular dynamic simulations reveal suboptimal binding of salbutamol in T164I variant of β2 adrenergic receptor. PLoS One, 2017, 12(10), e0186666.
[http://dx.doi.org/10.1371/journal.pone.0186666 ] [PMID: 29053759]
[39]
Sharda, S.; Sarmandal, P.; Cherukommu, S.; Dindhoria, K.; Yadav, M.; Bandaru, S.; Sharma, A.; Sakhi, A.; Vyas, T.; Hussain, T.; Nayarisseri, A.; Singh, S.K. A virtual screening approach for the identification of high affinity small molecules targeting bcr-abl1 inhibitors for the treatment of chronic myeloid leukemia. Curr. Top. Med. Chem., 2017, 17(26), 2989-2996.
[http://dx.doi.org/10.2174/1568026617666170821124512 ] [PMID: 28828991]
[40]
Jain, D.; Udhwani, T.; Sharma, S.; Gandhe, A.; Reddy, P.B.; Nayarisseri, A.; Singh, S.K. Design of novel jak3 inhibitors towards rheumatoid arthritis using molecular docking analysis. Bioinformation, 2019, 15(2), 68-78.
[http://dx.doi.org/10.6026/97320630015068 ] [PMID: 31435152]
[41]
Mendonça-Junior, F.J.B.; Scotti, M.T.; Nayarisseri, A.; Zondegoumba, E.N.T.; Scotti, L. Natural bioactive products with antioxidant properties useful in neurodegenerative diseases. Oxid. Med. Cell. Longev., 2019, 2019, 7151780.
[http://dx.doi.org/10.1155/2019/7151780 ] [PMID: 31210847]
[42]
Nayarisseri, A.; Hood, E.A. Advancement in microbial cheminformatics. Curr. Top. Med. Chem., 2018, 18(29), 2459-2461.
[http://dx.doi.org/10.2174/1568026619666181120121528 ] [PMID: 30457050]
[43]
Gokhale, P.; Chauhan, A.P.S.; Arora, A.; Khandekar, N.; Nayarisseri, A.; Singh, S.K. FLT3 inhibitor design using molecular docking based virtual screening for acute myeloid leukemia. Bioinformation, 2019, 15(2), 104-115.
[http://dx.doi.org/10.6026/97320630015104 ] [PMID: 31435156]
[44]
Shukla, P.; Khandelwal, R.; Sharma, D.; Dhar, A.; Nayarisseri, A.; Singh, S.K. Virtual screening of il-6 inhibitors for idiopathic arthritis. Bioinformation, 2019, 15(2), 121-130.
[http://dx.doi.org/10.6026/97320630015121 ] [PMID: 31435158]
[45]
Udhwani, T.; Mukherjee, S.; Sharma, K.; Sweta, J.; Khandekar, N.; Nayarisseri, A.; Singh, S.K. Design of PD-L1 inhibitors for lung cancer. Bioinformation, 2019, 15(2), 139-150.
[http://dx.doi.org/10.6026/97320630015139 ] [PMID: 31435160]
[46]
Rao, D.M.; Nayarisseri, A.; Yadav, M.; Patel, D. Comparative modeling of methylentetrahydrofolate reductase (MTHFR) enzyme and its mutational assessment: in silico approach. Int. J. Bioinform. Res., 2010, 2(1), 5-9.
[http://dx.doi.org/10.9735/0975-3087.2.1.5-9]
[47]
Kelotra, S.; Jain, M.; Kelotra, A.; Jain, I.; Bandaru, S.; Nayarisseri, A.; Bidwai, A. An in silico appraisal to identify high affinity anti-apoptotic synthetic tetrapeptide inhibitors targeting the mammalian caspase 3 enzyme. Asian Pac. J. Cancer Prev., 2014, 15(23), 10137-10142.
[http://dx.doi.org/10.7314/APJCP.2014.15.23.10137 ] [PMID: 25556438]
[48]
Sweta, J.; Khandelwal, R.; Srinitha, S.; Pancholi, R.; Adhikary, R.; Ali, M.A.; Nayarisseri, A.; Vuree, S.; Singh, S.K. Identification of high-affinity small molecule targeting idh2 for the clinical treatment of acute myeloid leukemia. Asian Pac. J. Cancer Prev., 2019, 20(8), 2287-2297.
[http://dx.doi.org/10.31557/APJCP.2019.20.8.2287 ] [PMID: 31450897]
[49]
Gutlapalli, V.R.; Sykam, A.; Nayarisseri, A.; Suneetha, S.; Suneetha, L.M. Insights from the predicted epitope similarity between Mycobacterium tuberculosis virulent factors and its human homologs. Bioinformation, 2015, 11(12), 517-524.
[http://dx.doi.org/10.6026/97320630011517 ] [PMID: 26770024]
[50]
Nayarisseri, A.; Yadav, M.; Wishard, R. Computational evaluation of new homologous down regulators of translationally controlled tumor protein (tctp) targeted for tumor reversion. Interdiscip. Sci., 2013, 5(4), 274-279.
[http://dx.doi.org/10.1007/s12539-013-0183-8 ] [PMID: 24402820]
[51]
Praseetha, S.; Bandaru, S.; Nayarisseri, A.; Sureshkumar, S. Pharmacological analysis of vorinostat analogues as potential anti-tumor agents targeting human histone deacetylases: an epigenetic treatment stratagem for cancers. Asian Pac. J. Cancer Prev., 2016, 17(3), 1571-1576.
[http://dx.doi.org/10.7314/APJCP.2016.17.3.1571 ] [PMID: 27039807]
[52]
Majhi, M.; Ali, M.A.; Limaye, A.; Sinha, K.; Bairagi, P.; Chouksey, M.; Shukla, R.; Kanwar, N.; Hussain, T.; Nayarisseri, A.; Singh, S.K. An in silico investigation of potential egfr inhibitors for the clinical treatment of colorectal cancer. Curr. Top. Med. Chem., 2018, 18(27), 2355-2366.
[http://dx.doi.org/10.2174/1568026619666181129144107 ] [PMID: 30499396]
[53]
Sharma, K.; Patidar, K.; Ali, M.A.; Patil, P.; Goud, H.; Hussain, T.; Nayarisseri, A.; Singh, S.K. Structure-based virtual screening for the identification of high affinity compounds as potent vegfr2 inhibitors for the treatment of renal cell carcinoma. Curr. Top. Med. Chem., 2018, 18(25), 2174-2185.
[http://dx.doi.org/10.2174/1568026619666181130142237 ] [PMID: 30499413]
[54]
Shameer, K.; Nayarisseri, A.; Romero Duran, F.X.; González-Díaz, H. Improving neuropharmacology using big data, machine learning and computational algorithms. Curr. Neuropharmacol., 2017, 15(8), 1058-1061.
[http://dx.doi.org/10.2174/1570159X1508171114113425 ] [PMID: 29199918]
[55]
Basak, S.C.; Nayarisseri, A.; González-Díaz, H.; Bonchev, D. Editorial (Thematic Issue: Chemoinformatics models for pharmaceutical design, part 2). Curr. Pharm. Des., 2016, 22(34), 5177-5178.
[http://dx.doi.org/10.2174/138161282234161110222751 ] [PMID: 27852211]
[56]
Basak, S.C.; Nayarisseri, A.; González-Díaz, H.; Bonchev, D. Editorial (Thematic Issue: chemoinformatics models for pharmaceutical design, Part 1). Curr. Pharm. Des., 2016, 22(33), 5041-5042.
[http://dx.doi.org/10.2174/138161282233161109224932 ] [PMID: 27852204]
[57]
Kelotra, A.; Gokhale, S.M.; Kelotra, S.; Mukadam, V.; Nagwanshi, K.; Bandaru, S.; Nayarisseri, A.; Bidwai, A. Alkyloxy carbonyl modified hexapeptides as a high affinity compounds for Wnt5A protein in the treatment of psoriasis. Bioinformation, 2014, 10(12), 743-749.
[http://dx.doi.org/10.6026/97320630010743 ] [PMID: 25670877]
[58]
Chandrakar, B.; Jain, A.; Roy, S.; Gutlapalli, V.R.; Saraf, S.; Suppahia, A.; Verma, A.; Tiwari, A.; Yadav, M.; Nayarisseri, A. Molecular modeling of Acetyl-CoA carboxylase (ACC) from Jatropha curcas and virtual screening for identification of inhibitors journal of pharmacy research, 2013, 6(9), 913-918.
[59]
Khandelwal, R.; Chauhan, A.P.S.; Bilawat, S.; Gandhe, A.; Hussain, T.; Hood, E.A.; Nayarisseri, A.; Singh, S.K. Structure-based virtual screening for the identification of high affinity small molecule towards STAT3 for the clinical treatment of Osteosarcoma. Curr. Top. Med. Chem., 2018, 18(29), 2511-2526.
[http://dx.doi.org/10.2174/1568026618666181115092001 ] [PMID: 30430945]
[60]
Nayarisseri, A.; Singh, S.K. Functional inhibition of vegf and egfr suppressors in cancer treatment. Curr. Top. Med. Chem., 2019, 19(3), 178-179.
[http://dx.doi.org/10.2174/156802661903190328155731 ] [PMID: 30950335]
[61]
Monteiro, A.F.M.; Viana, J.O.; Nayarisseri, A.; Zondegoumba, E.N.; Mendonça, Junior, F.J.B.; Scotti, M.T.; Scotti, L. Computational studies applied to flavonoids against alzheimer’s and parkinson’s diseases. Oxid. Med. Cell. Longev., 2018, 2018, 7912765.
[http://dx.doi.org/10.1155/2018/7912765 ] [PMID: 30693065]
[62]
Patidar, K.; Panwar, U.; Vuree, S.; Sweta, J.; Sandhu, M.K.; Nayarisseri, A.; Singh, S.K. An in silico approach to identify high affinity small molecule targeting m-tor inhibitors for the clinical treatment of breast cancer. Asian Pac. J. Cancer Prev., 2019, 20(4), 1229-1241.
[http://dx.doi.org/10.31557/APJCP.2019.20.4.1229 ] [PMID: 31030499]
[63]
Sharda, S.; Khandelwal, R.; Adhikary, R.; Sharma, D.; Majhi, M.; Hussain, T. A computer-aided drug designing for pharmacological inhibition of ALK inhibitors induces apoptosis and differentiation in Non-small cell lung cancer. Curr. Top. Med. Chem., 2019, 19(13), 1129-1144.
[http://dx.doi.org/10.2174/1568026619666190521084941 ] [PMID: 31109278]