105
vaccinology and subtractive genomics based approach. Int J Mol Sci 18(2). https://doi.
org/10.3390/ijms18020402
Kumar A, Thotakura PL, Tiwary BK, Krishna R (2016) Target identification in Fusobacterium
nucleatum by subtractive genomics approach and enrichment analysis of host-pathogen proteinprotein interactions. BMC Microbiol 16(1):84. https://doi.org/10.1186/s12866-016-0700-0
Kwofie SK, Schaefer U, Sundararajan VS, Bajic VB, Christoffels A (2011) HCVpro: hepatitis C virus protein interaction database. Infect Genet Evol 11(8):1971–1977. https://doi.
org/10.1016/j.meegid.2011.09.001
Larder B, Kemp S (1989) Multiple mutations in HIV-1 reverse transcriptase confer high-level
resistance to zidovudine (AZT). Science 246(4934):1155–1158. https://doi.org/10.1126/
science.2479983
Laxminarayan R, Matsoso P, Pant S, Brower C, Røttingen J-A, Klugman K et al (2016)
Access to effective antimicrobials: a worldwide challenge. Lancet (London, England)
387(10014):168–175. https://doi.org/10.1016/S0140-6736(15)00474-2
Lee N, Ison MG (2012) Diagnosis, management and outcomes of adults hospitalized with influenza. Antiviral Therapy 17(1 Pt B):143–157. https://doi.org/10.3851/IMP2059
Li H, Gao Z, Kang L, Zhang H, Yang K, Yu K et al (2006) TarFisDock: a web server for identifying
drug targets with docking approach. Nucleic Acids Res 34(Web Server issue):W219–W224.
https://doi.org/10.1093/nar/gkl114
Li TCM, Chan MCW, Lee N (2015) Clinical implications of antiviral resistance in influenza.
Viruses 7(9):4929–4944. https://doi.org/10.3390/v7092850
Machado D, Andrejev S, Tramontano M, Patil KR (2018) Fast automated reconstruction of
genome-scale metabolic models for microbial species and communities. Nucleic Acids Res
46(15):7542–7553. https://doi.org/10.1093/nar/gky537
Malik A, Dalal V, Ankri S, Tomar S (2019) Structural insights into Entamoeba histolytica arginase
and structure-based identification of novel non-amino acid based inhibitors as potential antiamoebic molecules. FEBS J 286:4135–4155. https://doi.org/10.1111/febs.14960
Marston HD, Dixon DM, Knisely JM, Palmore TN, Fauci AS (2016) Antimicrobial resistance.
JAMA 316(11):1193–1204. https://doi.org/10.1001/jama.2016.11764
Mason S, Devincenzo JP, Toovey S, Wu JZ, Whitley RJ (2018) Comparison of antiviral resistance
across acute and chronic viral infections. Antivir Res 158:103–112. https://doi.org/10.1016/j.
antiviral.2018.07.020
Mayers DL, Sobel JD, Ouellette M, Kaye KS, Marchaim D (2017) Antimicrobial drug resistance:
clinical and epidemiological aspects. Springer, Cham
Molina D, Cossio-Perez R, Rocha-Roa C, Pedraza L, Cortes E, Hernandez A et al (2018) Protein
targets of thiazolidinone derivatives in Toxoplasma gondii and insights into their binding to
ROP18. BMC Genomics 19(1):856. https://doi.org/10.1186/s12864-018-5223-7
Mondal SI, Ferdous S, Akter A, Mahmud Z, Karim N, Islam MM et al (2015) Identification of
potential drug targets by subtractive genome analysis of Escherichia coli O157:H7: an in silico
approach. Adv Appl Bioinforma Chem. https://doi.org/10.2147/aabc.S88522
Mukherjee S, Gangopadhay K, Mukherjee SB (2019) Identification of potential new vaccine
candidates in Salmonella typhi using reverse vaccinology and subtractive genomics-based
approach. https://doi.org/10.1101/521518
Nayak S, Pradhan D, Singh H, Reddy MS (2019) Computational screening of potential drug
targets for pathogens causing bacterial pneumonia. Microb Pathog 130:271–282. https://doi.
org/10.1016/j.micpath.2019.03.024
Nicholson JK, Holmes E, Kinross J, Burcelin R, Gibson G, Jia W et al (2012) Host-gut microbiota metabolic interactions. Science 336(6086):1262–1267. https://doi.org/10.1126/
science.1223813
Nikolsky Y, Nikolskaya T, Bugrim A (2005) Biological networks and analysis of experimental data in drug discovery. Drug Discov Today 10(9):653–662. https://doi.org/10.1016/
S1359-6446(05)03420-3
4 In Silico Approaches for Prioritizing Drug Targets in Pathogens
vaccinology and subtractive genomics based approach. Int J Mol Sci 18(2). https://doi.
org/10.3390/ijms18020402
Kumar A, Thotakura PL, Tiwary BK, Krishna R (2016) Target identification in Fusobacterium
nucleatum by subtractive genomics approach and enrichment analysis of host-pathogen proteinprotein interactions. BMC Microbiol 16(1):84. https://doi.org/10.1186/s12866-016-0700-0
Kwofie SK, Schaefer U, Sundararajan VS, Bajic VB, Christoffels A (2011) HCVpro: hepatitis C virus protein interaction database. Infect Genet Evol 11(8):1971–1977. https://doi.
org/10.1016/j.meegid.2011.09.001
Larder B, Kemp S (1989) Multiple mutations in HIV-1 reverse transcriptase confer high-level
resistance to zidovudine (AZT). Science 246(4934):1155–1158. https://doi.org/10.1126/
science.2479983
Laxminarayan R, Matsoso P, Pant S, Brower C, Røttingen J-A, Klugman K et al (2016)
Access to effective antimicrobials: a worldwide challenge. Lancet (London, England)
387(10014):168–175. https://doi.org/10.1016/S0140-6736(15)00474-2
Lee N, Ison MG (2012) Diagnosis, management and outcomes of adults hospitalized with influenza. Antiviral Therapy 17(1 Pt B):143–157. https://doi.org/10.3851/IMP2059
Li H, Gao Z, Kang L, Zhang H, Yang K, Yu K et al (2006) TarFisDock: a web server for identifying
drug targets with docking approach. Nucleic Acids Res 34(Web Server issue):W219–W224.
https://doi.org/10.1093/nar/gkl114
Li TCM, Chan MCW, Lee N (2015) Clinical implications of antiviral resistance in influenza.
Viruses 7(9):4929–4944. https://doi.org/10.3390/v7092850
Machado D, Andrejev S, Tramontano M, Patil KR (2018) Fast automated reconstruction of
genome-scale metabolic models for microbial species and communities. Nucleic Acids Res
46(15):7542–7553. https://doi.org/10.1093/nar/gky537
Malik A, Dalal V, Ankri S, Tomar S (2019) Structural insights into Entamoeba histolytica arginase
and structure-based identification of novel non-amino acid based inhibitors as potential antiamoebic molecules. FEBS J 286:4135–4155. https://doi.org/10.1111/febs.14960
Marston HD, Dixon DM, Knisely JM, Palmore TN, Fauci AS (2016) Antimicrobial resistance.
JAMA 316(11):1193–1204. https://doi.org/10.1001/jama.2016.11764
Mason S, Devincenzo JP, Toovey S, Wu JZ, Whitley RJ (2018) Comparison of antiviral resistance
across acute and chronic viral infections. Antivir Res 158:103–112. https://doi.org/10.1016/j.
antiviral.2018.07.020
Mayers DL, Sobel JD, Ouellette M, Kaye KS, Marchaim D (2017) Antimicrobial drug resistance:
clinical and epidemiological aspects. Springer, Cham
Molina D, Cossio-Perez R, Rocha-Roa C, Pedraza L, Cortes E, Hernandez A et al (2018) Protein
targets of thiazolidinone derivatives in Toxoplasma gondii and insights into their binding to
ROP18. BMC Genomics 19(1):856. https://doi.org/10.1186/s12864-018-5223-7
Mondal SI, Ferdous S, Akter A, Mahmud Z, Karim N, Islam MM et al (2015) Identification of
potential drug targets by subtractive genome analysis of Escherichia coli O157:H7: an in silico
approach. Adv Appl Bioinforma Chem. https://doi.org/10.2147/aabc.S88522
Mukherjee S, Gangopadhay K, Mukherjee SB (2019) Identification of potential new vaccine
candidates in Salmonella typhi using reverse vaccinology and subtractive genomics-based
approach. https://doi.org/10.1101/521518
Nayak S, Pradhan D, Singh H, Reddy MS (2019) Computational screening of potential drug
targets for pathogens causing bacterial pneumonia. Microb Pathog 130:271–282. https://doi.
org/10.1016/j.micpath.2019.03.024
Nicholson JK, Holmes E, Kinross J, Burcelin R, Gibson G, Jia W et al (2012) Host-gut microbiota metabolic interactions. Science 336(6086):1262–1267. https://doi.org/10.1126/
science.1223813
Nikolsky Y, Nikolskaya T, Bugrim A (2005) Biological networks and analysis of experimental data in drug discovery. Drug Discov Today 10(9):653–662. https://doi.org/10.1016/
S1359-6446(05)03420-3
4 In Silico Approaches for Prioritizing Drug Targets in Pathogens