{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,17]],"date-time":"2026-10-17T02:01:50Z","timestamp":1792202510623,"version":"4.4.0"},"reference-count":59,"publisher":"American Chemical Society (ACS)","issue":"27","license":[{"start":{"date-parts":[[2021,6,25]],"date-time":"2021-06-25T00:00:00Z","timestamp":1624579200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001409","name":"Department of Science and Technology, Ministry of Science and Technology","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001409","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,7,13]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>The drug-resistant strains of Mycobacterium tuberculosis (M.tb) are evolving at an alarming rate, and this indicates the urgent need for the development of novel antitubercular drugs. However, genetic mutations, complex cell wall system of M.tb, and influx\u2013efflux transporter systems are the major permeability barriers that significantly affect the M.tb drugs activity. Thus, most of the small molecules are ineffective to arrest the M.tb cell growth, even though they are effective at the cellular level. To address the permeability issue, different machine learning models that effectively distinguish permeable and impermeable compounds were developed. The enzyme-based (IC50) and cell-based (minimal inhibitory concentration) data were considered for the classification of M.tb permeable and impermeable compounds. It was assumed that the compounds that have high activity in both enzyme-based and cell-based assays possess the required M.tb cell wall permeability. The XGBoost model was outperformed when compared to the other models generated from different algorithms such as random forest, support vector machine, and nai\u0308ve Bayes. The XGBoost model was further validated using the validation data set (21 permeable and 19 impermeable compounds). The obtained machine learning models suggested that various descriptors such as molecular weight, atom type, electrotopological state, hydrogen bond donor\/acceptor counts, and extended topochemical atoms of molecules are the major determining factors for both M.tb cell permeability and inhibitory activity. Furthermore, potential antimycobacterial drugs were identified using computational drug repurposing. All the approved drugs from DrugBank were collected and screened using the developed permeability model. The screened compounds were given as input in the PASS server for the identification of possible antimycobacterial compounds. The drugs that were retained after two filters were docked to the active site of 10 different potential antimycobacterial drug targets. The results obtained from this study may improve the understanding of M.tb permeability and activity that may aid in the development of novel antimycobacterial drugs.<\/jats:p>","DOI":"10.1021\/acsomega.1c01865","type":"journal-article","created":{"date-parts":[[2021,6,25]],"date-time":"2021-06-25T13:14:03Z","timestamp":1624626843000},"page":"17472-17482","source":"Crossref","is-referenced-by-count":36,"title":["<i>Mycobacterium tuberculosis<\/i>\n                    Cell Wall\nPermeability Model Generation Using Chemoinformatics and\nMachine Learning Approaches"],"prefix":"10.1021","volume":"6","author":[{"given":"Selvaraman","family":"Nagamani","sequence":"first","affiliation":[{"name":"CSIR \u2212 North East Institute of Science and Technology , , , ,","place":["Jorhat, Assam, India, 785 006"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3181-7673","authenticated-orcid":true,"given":"G. Narahari","family":"Sastry","sequence":"additional","affiliation":[{"name":"CSIR \u2212 North East Institute of Science and Technology , , , ,","place":["Jorhat, Assam, India, 785 006"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"316","published-online":{"date-parts":[[2021,6,25]]},"reference":[{"key":"2026081711235950000_cit1","doi-asserted-by":"publisher","first-page":"53","DOI":"10.1007\/82_2012_279","article-title":"Molecular\nbiology of drug resistance\nin Mycobacterium tuberculosis","volume":"374","author":"Simith","year":"2013","journal-title":"Curr. Top. Microbiol. Immunol."},{"key":"2026081711235950000_cit2","doi-asserted-by":"publisher","first-page":"849","DOI":"10.1128\/AAC.00749-08","article-title":"New drugs against tuberculosis: Problems, progress,\nand evaluation of agents in clinical development","volume":"53","author":"Van\nDen Boogaard","year":"2009","journal-title":"Antimicrob. Agents Chemother."},{"key":"2026081711235950000_cit3","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1371\/journal.ppat.1008270","article-title":"New 2-ethylthio-4-methylaminoquinazoline\nderivatives inhibiting two subunits of cytochrome bc1 in Mycobacterium\ntuberculosis","volume":"16","author":"Lupien","year":"2020","journal-title":"PLoS Pathog."},{"key":"2026081711235950000_cit4","doi-asserted-by":"publisher","DOI":"10.3389\/fcimb.2021.622487","article-title":"The M. tuberculosis Rv1523 Methyltransferase Promotes Drug Resistance Through Methylation-Mediated\nCell Wall Remodeling and Modulates Macrophages Immune Responses","volume":"11","author":"Ali","year":"2021","journal-title":"Front. Cell. Infect. Microbiol."},{"key":"2026081711235950000_cit5","doi-asserted-by":"publisher","DOI":"10.3389\/fmicb.2021.612675","article-title":"Evolution\nof Drug-Resistant Mycobacterium\ntuberculosis Strains and Their Adaptation to the Human Lung Environment","volume":"12","author":"Guardia","year":"2021","journal-title":"Front. Microbiol."},{"key":"2026081711235950000_cit6","doi-asserted-by":"publisher","first-page":"751","DOI":"10.1021\/ja2076873","article-title":"Membrane assembly\ndriven by a biomimetic coupling reaction","volume":"134","author":"Budin","year":"2012","journal-title":"J.\nAm. Chem. Soc."},{"key":"2026081711235950000_cit7","first-page":"261","article-title":"The cell envelope of Mycobacterium\ntuberculosis with special reference to the capsule and outer permeability\nbarrier","volume-title":"Tuberculosis and the Tubercle\nBacillus","author":"Draper","year":"2005"},{"key":"2026081711235950000_cit8","doi-asserted-by":"publisher","first-page":"237","DOI":"10.1007\/BF01568645","article-title":"Triple-layered structure of mycobacterial\ncell wall: Evidence for the existence of a polysaccharide-rich outer\nlayer in 18 mycobacterial species","volume":"13","author":"Rastogi","year":"1986","journal-title":"Curr. Microbiol."},{"key":"2026081711235950000_cit9","doi-asserted-by":"publisher","first-page":"29545","DOI":"10.1074\/jbc.271.47.29545","article-title":"Mycolic acid\nstructure determines the fluidity of the mycobacterial cell wall","volume":"271","author":"Liu","year":"1996","journal-title":"J. Biol. Chem."},{"key":"2026081711235950000_cit10","doi-asserted-by":"publisher","first-page":"1","DOI":"10.3389\/fimmu.2017.00307","article-title":"Mycobacterium tuberculosis Cell Wall Fragments Released\nupon Bacterial Contact with the Human Lung Mucosa Alter the Neutrophil\nResponse to Infection","volume":"8","author":"Scordo","year":"2017","journal-title":"Front. Immunol."},{"key":"2026081711235950000_cit11","doi-asserted-by":"publisher","first-page":"3377","DOI":"10.1039\/C6MB00457A","article-title":"Modeling the permeability\nof drug-like\nmolecules through the cell wall of Mycobacterium tuberculosis: An analogue based approach","volume":"12","author":"Janardhan","year":"2016","journal-title":"Mol. Biosyst."},{"key":"2026081711235950000_cit12","doi-asserted-by":"publisher","first-page":"329","DOI":"10.2174\/138920307781369427","article-title":"Virtual\nscreening in drug discovery\ue5f8A computational perspective","volume":"8","author":"Reddy","year":"2007","journal-title":"Curr. Protein Pept. Sci."},{"key":"2026081711235950000_cit13","doi-asserted-by":"publisher","first-page":"3088","DOI":"10.1021\/ci300385h","article-title":"Molecular dynamics investigation\non a series of HIV\nprotease inhibitors: Assessing the performance of MM-PBSA and MM-GBSA\napproaches","volume":"52","author":"Srivastava","year":"2012","journal-title":"J. Chem. Inf. Model."},{"key":"2026081711235950000_cit14","doi-asserted-by":"publisher","first-page":"840","DOI":"10.2174\/138620711797537102","article-title":"Virtual high throughput screening in new lead identification","volume":"14","author":"Badrinarayan","year":"2011","journal-title":"Comb. Chem. High Throughput Screening"},{"key":"2026081711235950000_cit15","doi-asserted-by":"publisher","first-page":"830","DOI":"10.1016\/j.ejmech.2007.06.009","article-title":"Molecular modeling\nstudies of phenoxypyrimidinyl\nimidazoles as p38 kinase inhibitors using QSAR and docking","volume":"43","author":"Ravindra","year":"2008","journal-title":"Eur. J. Med. Chem."},{"key":"2026081711235950000_cit16","doi-asserted-by":"publisher","first-page":"4263","DOI":"10.1007\/s00894-012-1416-1","article-title":"FDA approved drugs\ncomplexed to their targets: Evaluating\npose prediction accuracy of docking protocols","volume":"18","author":"Bohari","year":"2012","journal-title":"J. Mol. Model."},{"key":"2026081711235950000_cit17","doi-asserted-by":"publisher","first-page":"89","DOI":"10.1016\/j.jmgm.2011.12.009","article-title":"Virtual screening\nfilters for the design of type II\np38 MAP kinase inhibitors: A fragment based library generation approach","volume":"34","author":"Badrinarayan","year":"2012","journal-title":"J. Mol. Graphics Modell."},{"key":"2026081711235950000_cit18","doi-asserted-by":"publisher","first-page":"848","DOI":"10.1021\/ci500737b","article-title":"Dynamics based pharmacophore\nmodels\nfor screening potential inhibitors of mycobacterial cyclopropane synthase","volume":"55","author":"Choudhury","year":"2015","journal-title":"J. Chem. Inf. Model."},{"key":"2026081711235950000_cit19","doi-asserted-by":"publisher","first-page":"1918","DOI":"10.4049\/jimmunol.1700525","article-title":"Uncovering\nStructural and Molecular Dynamics of ESAT-6: \u03b22M Interaction:\nAsp53 of Human \u03b22-Microglobulin is Critical for the ESAT-6:\n\u03b22M Complexation","volume":"203","author":"Jha","year":"2019","journal-title":"J. Immunol."},{"key":"2026081711235950000_cit20","doi-asserted-by":"publisher","first-page":"191","DOI":"10.1016\/B978-0-12-816125-8.00007-9","article-title":"Chapter 7\ue5f8Data\nScience Driven Drug Repurposing for Metabolic Disorders","author":"Nagamani","year":"2019","journal-title":"In Silico Drug Des."},{"key":"2026081711235950000_cit21","doi-asserted-by":"publisher","first-page":"515","DOI":"10.1007\/s12039-017-1268-4","article-title":"Assessing Therapeutic Potential of Molecules: Molecular\nProperty Diagnostic Suite for Tuberculosis (MPDSTB)","volume":"129","author":"Gaur","year":"2017","journal-title":"J. Chem. Sci."},{"key":"2026081711235950000_cit22","doi-asserted-by":"publisher","first-page":"8235\u201341. 17","DOI":"10.1021\/bi00026a004","article-title":"Enzymic\ncharacterization of the target for isoniazid in Mycobacterium\ntuberculosis","volume":"34","author":"Quemard","year":"1995","journal-title":"Biochemistry"},{"key":"2026081711235950000_cit23","doi-asserted-by":"publisher","first-page":"2746","DOI":"10.1021\/jm500059t","article-title":"Impact of stereospecific intramolecular\nhydrogen bonding on cell permeability and physicochemical properties","volume":"57","author":"Over","year":"2014","journal-title":"J. Med. Chem."},{"key":"2026081711235950000_cit24","doi-asserted-by":"publisher","first-page":"857","DOI":"10.1093\/jac\/dku457","article-title":"Comprehensive\nphysicochemical, pharmacokinetic and activity profiling of anti-TB\nagents","volume":"70","author":"Lakshminarayana","year":"2015","journal-title":"J. Antimicrob. Chemother."},{"key":"2026081711235950000_cit25","doi-asserted-by":"publisher","first-page":"62","DOI":"10.1093\/bioinformatics\/bts641","article-title":"MycPermCheck:\nThe Mycobacterium tuberculosis permeability\nprediction tool for small molecules","volume":"29","author":"Merget","year":"2013","journal-title":"Bioinformatics"},{"key":"2026081711235950000_cit26","doi-asserted-by":"publisher","first-page":"1466","DOI":"10.1002\/jcc.21707","article-title":"PaDEL-descriptor:\nAn open source software to calculate molecular descriptors and fingerprints","volume":"32","author":"Yap","year":"2011","journal-title":"J. Comput. Chem."},{"key":"2026081711235950000_cit27","volume-title":"Schro\u0308dinger Release\n2019-4: QikProp","year":"2019"},{"key":"2026081711235950000_cit28","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.ymeth.2019.06.006","article-title":"Deep learning in bioinformatics","volume":"166","author":"Wang","year":"2019","journal-title":"Methods"},{"key":"2026081711235950000_cit29","doi-asserted-by":"publisher","first-page":"1538","DOI":"10.1016\/j.drudis.2018.05.010","article-title":"Machine learning\nin chemoinformatics and drug discovery","volume":"23","author":"Lo","year":"2018","journal-title":"Drug.\nDiscov. Today"},{"key":"2026081711235950000_cit30","doi-asserted-by":"publisher","first-page":"1065","DOI":"10.1021\/acsmedchemlett.8b00437","article-title":"Transforming\nComputational Drug Discovery\nwith Machine Learning and AI","volume":"9","author":"Smith","year":"2018","journal-title":"ACS. Med. Chem.\nLett."},{"key":"2026081711235950000_cit31","doi-asserted-by":"publisher","first-page":"215","DOI":"10.1002\/cyto.a.23990","article-title":"Machine Learning,\nCOVID-19 (2019-nCoV), and multi-OMICS","volume":"97","author":"Tarnok","year":"2020","journal-title":"Cytometry,\nPart A"},{"key":"2026081711235950000_cit32","doi-asserted-by":"publisher","first-page":"6513","DOI":"10.1021\/acs.jctc.9b00708","article-title":"Machine\nLearning in Computational\nChemistry: An Evaluation of Method Performance for Nudged Elastic\nBand Calculations","volume":"15","author":"Meyer","year":"2019","journal-title":"J. Chem. Theory Comput."},{"key":"2026081711235950000_cit33","doi-asserted-by":"publisher","first-page":"D901","DOI":"10.1093\/nar\/gkm958","article-title":"DrugBank:\nA knowledgebase for drugs, drug actions and drug targets","volume":"36","author":"Wishart","year":"2008","journal-title":"Nucleic Acids Res."},{"key":"2026081711235950000_cit34","doi-asserted-by":"publisher","first-page":"37","DOI":"10.1016\/0169-7439(87)80084-9","article-title":"Principal\ncomponent analysis","volume":"2","author":"Wold","year":"1987","journal-title":"Chemom. Intell. Lab. Syst."},{"key":"2026081711235950000_cit35","unstructured":"Leisch, F.; Dimitriadou, E.\n          mlbench:\nMachine Learning Benchmark Problems, R package version 2.1-1, 2010."},{"key":"2026081711235950000_cit36","doi-asserted-by":"publisher","DOI":"10.1002\/9783527628766","volume-title":"Molecular\nDescriptors for Chemoinformatics","author":"Todeschini","year":"2009"},{"key":"2026081711235950000_cit37","doi-asserted-by":"publisher","first-page":"1039","DOI":"10.1021\/ci00028a014","article-title":"Electrotopological State Indices for Atom Types: A\nNovel Combination of Electronic, Topological, and Valence State Information","volume":"35","author":"Hall","year":"1995","journal-title":"J. Chem. Inf. Model."},{"key":"2026081711235950000_cit38","doi-asserted-by":"publisher","first-page":"21","DOI":"10.1021\/ci00053a005","article-title":"Atomic physicochemical parameters for three-dimensional-structure-directed\nquantitative structure-activity relationships. 2. Modeling dispersive\nand hydrophobic interactions","volume":"27","author":"Ghose","year":"1987","journal-title":"J. Chem. Inf.\nModel."},{"key":"2026081711235950000_cit39","doi-asserted-by":"publisher","first-page":"307","DOI":"10.1006\/jmbi.1999.3328","article-title":"Three-dimensional\nstructure of M. tuberculosis dihydrofolate reductase\nreveals opportunities for the design of novel tuberculosis drugs","volume":"295","author":"Li","year":"2000","journal-title":"J. Mol. Biol."},{"key":"2026081711235950000_cit40","doi-asserted-by":"publisher","first-page":"15582","DOI":"10.1074\/jbc.274.22.15582","article-title":"Crystal\nstructure of the Mycobacterium tuberculosis enoyl-ACP reductase, InhA,\nin complex with NAD+ and a C16 fatty acyl substrate","volume":"274","author":"Rozwarski","year":"1999","journal-title":"J. Biol. Chem."},{"key":"2026081711235950000_cit41","doi-asserted-by":"publisher","first-page":"3018","DOI":"10.1016\/j.febslet.2006.04.046","article-title":"The structure\nof PknB in complex with mitoxantrone, an ATP-competitive inhibitor,\nsuggests a mode of protein kinase regulation in mycobacteria","volume":"580","author":"Wehenkel","year":"2006","journal-title":"FEBS Lett."},{"key":"2026081711235950000_cit42","doi-asserted-by":"publisher","first-page":"1004","DOI":"10.1016\/j.str.2009.04.012","article-title":"Crystal structures\nof Mycobacterium tuberculosis KasA\nshow mode of action within cell wall biosynthesis and its inhibition\nby thiolactomycin","volume":"17","author":"Luckner","year":"2009","journal-title":"Structure"},{"key":"2026081711235950000_cit43","doi-asserted-by":"publisher","first-page":"11354","DOI":"10.1073\/pnas.1205735109","article-title":"Structural\nbasis of inhibition of Mycobacterium tuberculosis DprE1 by benzothiazinone inhibitors","volume":"109","author":"Batt","year":"2012","journal-title":"Proc.\nNatl. Acad. Sci. U S A."},{"key":"2026081711235950000_cit44","doi-asserted-by":"publisher","first-page":"4993","DOI":"10.1074\/jbc.M510756200","article-title":"Structural mechanics\nof the pH-dependent activity of beta-carbonic anhydrase from Mycobacterium\ntuberculosis","volume":"281","author":"Covarrubias","year":"2006","journal-title":"J. Biol. Chem."},{"key":"2026081711235950000_cit45","doi-asserted-by":"publisher","first-page":"3068","DOI":"10.1073\/pnas.061562898","article-title":"Crystal structure of cytochrome P450\n14alpha -sterol demethylase (CYP51) from Mycobacterium\ntuberculosis in complex with azole inhibitors","volume":"98","author":"Podust","year":"2001","journal-title":"Proc. Natl. Acad. Sci. U S A."},{"key":"2026081711235950000_cit46","doi-asserted-by":"publisher","first-page":"130","DOI":"10.1021\/bi0484163","article-title":"The crystal\nstructure of Mycobacterium tuberculosis thymidylate kinase in complex with 3\u2032-azidodeoxythymidine\nmonophosphate suggests a mechanism for competitive inhibition","volume":"44","author":"Fioravanti","year":"2005","journal-title":"Biochemistry"},{"key":"2026081711235950000_cit47","doi-asserted-by":"publisher","first-page":"1193","DOI":"10.1006\/jmbi.2000.4094","article-title":"Crystal structure\nof Mycobacterium tuberculosis 7,8-dihydropteroate\nsynthase in complex with pterin monophosphate: New insight into the\nenzymatic mechanism and sulfa-drug action","volume":"302","author":"Baca","year":"2000","journal-title":"J.\nMol. Biol."},{"key":"2026081711235950000_cit48","doi-asserted-by":"publisher","first-page":"30273","DOI":"10.1074\/jbc.M503780200","article-title":"NAD+-dependent\nDNA Ligase (Rv3014c)\nfrom Mycobacterium tuberculosis. Crystal\nstructure of the adenylation domain and identification of novel inhibitors","volume":"280","author":"Srivastava","year":"2005","journal-title":"J. Biol. Chem."},{"key":"2026081711235950000_cit49","doi-asserted-by":"publisher","first-page":"D945","DOI":"10.1093\/nar\/gkw1074","article-title":"The ChEMBL database in 2017","volume":"45","author":"Gaulton","year":"2017","journal-title":"Nucleic Acids Res."},{"key":"2026081711235950000_cit50","doi-asserted-by":"publisher","first-page":"1733","DOI":"10.1093\/bioinformatics\/btn307","article-title":"ChemmineR:\nA compound mining framework for R","volume":"24","author":"Cao","year":"2008","journal-title":"Bioinformatics"},{"key":"2026081711235950000_cit51","doi-asserted-by":"publisher","first-page":"930","DOI":"10.1111\/j.1365-2753.2008.00984.x","article-title":"Relationships between\nstatistical measures of agreement:\nSensitivity, specificity and kappa","volume":"14","author":"Feuerman","year":"2008","journal-title":"J. Eval.\nClin. Pract."},{"key":"2026081711235950000_cit52","doi-asserted-by":"publisher","first-page":"299","DOI":"10.2307\/1390807","article-title":"R: A language\nfor data analysis and graphics","volume":"5","author":"Ihaka","year":"1996","journal-title":"J. Comput. Graph.\nStat."},{"key":"2026081711235950000_cit53","article-title":"XGBoost:\nA scalable\ntrue boosting system","volume-title":"KDD\u201916","author":"Chen","year":"2016"},{"key":"2026081711235950000_cit54","doi-asserted-by":"publisher","first-page":"1189","DOI":"10.1214\/aos\/1013203451","article-title":"Greedy\nfunction approximation: A gradient boosting machine","volume":"29","author":"Friedman","year":"2001","journal-title":"Ann. Statist."},{"key":"2026081711235950000_cit55","doi-asserted-by":"publisher","first-page":"747","DOI":"10.1093\/bioinformatics\/16.8.747","article-title":"PASS: Prediction of\nactivity spectra for biologically active substances","volume":"16","author":"Lagunin","year":"2000","journal-title":"Bioinformatics"},{"key":"2026081711235950000_cit56","doi-asserted-by":"publisher","first-page":"444","DOI":"10.1007\/s10593-014-1496-1","article-title":"Prediction\nof the biological activity\nspectra of organic compounds using the PASS online web resource, Chem.","volume":"50","author":"Filimonov","year":"2014","journal-title":"Heterocycl. Compd."},{"key":"2026081711235950000_cit57","doi-asserted-by":"publisher","DOI":"10.18097\/bmcrm00004","article-title":"Computer-aided\nprediction of biological activity spectra for chemical compounds:\nOpportunities and limitations","volume":"1","author":"Filimonov","year":"2018","journal-title":"Biomed. Chem.:\nRes. Methods"},{"key":"2026081711235950000_cit58","doi-asserted-by":"publisher","first-page":"91","DOI":"10.1007\/s11094-017-1563-x","article-title":"Web resources\nfor discovery and development\nof new medicines","volume":"51","author":"Bezhentsev","year":"2017","journal-title":"Pharm. Chem."},{"key":"2026081711235950000_cit59","doi-asserted-by":"publisher","first-page":"455","DOI":"10.1002\/jcc.21334","article-title":"AutoDock Vina: Improving the speed\nand accuracy of\ndocking with a new scoring function, efficient optimization, and multithreading","volume":"31","author":"Trott","year":"2010","journal-title":"J. Comput. Chem."}],"container-title":["ACS Omega"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/pubs.acs.org\/doi\/pdf\/10.1021\/acsomega.1c01865","content-type":"application\/pdf","content-version":"vor","intended-application":"unspecified"},{"URL":"https:\/\/pubs.acs.org\/acsodf\/article-pdf\/6\/27\/17472\/3716893\/ao1c01865.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/pubs.acs.org\/acsodf\/article-pdf\/6\/27\/17472\/3716893\/ao1c01865.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,8,17]],"date-time":"2026-08-17T15:29:09Z","timestamp":1786980549000},"score":1,"resource":{"primary":{"URL":"https:\/\/pubs.acs.org\/acsodf\/article\/6\/27\/17472\/384206\/Mycobacterium-tuberculosis-Cell-Wall-Permeability"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,6,25]]},"references-count":59,"journal-issue":{"issue":"27","published-online":{"date-parts":[[2021,6,25]]},"published-print":{"date-parts":[[2021,7,13]]}},"URL":"https:\/\/doi.org\/10.1021\/acsomega.1c01865","relation":{},"ISSN":["2470-1343"],"issn-type":[{"value":"2470-1343","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,6,25]]}}}