| DBAASP v3: database of antimicrobial/cytotoxic activity and structure of peptides as a resource for development of new therapeutics M Pirtskhalava, AA Amstrong, M Grigolava, M Chubinidze, ... Nucleic acids research 49 (D1), D288-D297, 2021 | 423 | 2021 |
| Genomic analysis of globally diverse Mycobacterium tuberculosis strains provides insights into the emergence and spread of multidrug resistance AL Manson, KA Cohen, T Abeel, CA Desjardins, DT Armstrong, ... Nature genetics 49 (3), 395-402, 2017 | 309 | 2017 |
| DBAASP v. 2: an enhanced database of structure and antimicrobial/cytotoxic activity of natural and synthetic peptides M Pirtskhalava, A Gabrielian, P Cruz, HL Griggs, RB Squires, DE Hurt, ... Nucleic acids research 44 (D1), D1104-D1112, 2016 | 240 | 2016 |
| PET/CT imaging correlates with treatment outcome in patients with multidrug-resistant tuberculosis RY Chen, LE Dodd, M Lee, P Paripati, DA Hammoud, JM Mountz, D Jeon, ... Science translational medicine 6 (265), 265ra166-265ra166, 2014 | 166 | 2014 |
| Differential virulence and disease progression following Mycobacterium tuberculosis complex infection of the common marmoset (Callithrix jacchus) LE Via, DM Weiner, D Schimel, PL Lin, E Dayao, SL Tankersley, Y Cai, ... Infection and immunity 81 (8), 2909-2919, 2013 | 140 | 2013 |
| dbaasp: database of antimicrobial activity and structure of peptides G Gogoladze, M Grigolava, B Vishnepolsky, M Chubinidze, P Duroux, ... FEMS microbiology letters 357 (1), 63-68, 2014 | 129 | 2014 |
| The TB portals: an open-access, web-based platform for global drug-resistant-tuberculosis data sharing and analysis A Rosenthal, A Gabrielian, E Engle, DE Hurt, S Alexandru, V Crudu, ... Journal of clinical microbiology 55 (11), 3267-3282, 2017 | 127 | 2017 |
| Predictive model of linear antimicrobial peptides active against gram-negative bacteria B Vishnepolsky, A Gabrielian, A Rosenthal, DE Hurt, M Tartakovsky, ... Journal of chemical information and modeling 58 (5), 1141-1151, 2018 | 81 | 2018 |
| Radiological signs associated with pulmonary multi-drug resistant tuberculosis: an analysis of published evidences YXJ Wáng, MJ Chung, A Skrahin, A Rosenthal, A Gabrielian, ... Quantitative imaging in medicine and surgery 8 (2), 161, 2018 | 77 | 2018 |
| De novo design and in vitro testing of antimicrobial peptides against Gram-negative bacteria B Vishnepolsky, G Zaalishvili, M Karapetian, T Nasrashvili, N Kuljanishvili, ... Pharmaceuticals 12 (2), 82, 2019 | 66 | 2019 |
| Whole-genome sequencing of Mycobacterium tuberculosis provides insight into the evolution and genetic composition of drug-resistant tuberculosis in Belarus KR Wollenberg, CA Desjardins, A Zalutskaya, V Slodovnikova, AJ Oler, ... Journal of clinical microbiology 55 (2), 457-469, 2017 | 65 | 2017 |
| Detecting drug-resistant tuberculosis in chest radiographs S Jaeger, OH Juarez-Espinosa, S Candemir, M Poostchi, F Yang, L Kim, ... International journal of computer assisted radiology and surgery 13, 1915-1925, 2018 | 59 | 2018 |
| Updates on 18F-FDG-PET/CT as a clinical tool for tuberculosis evaluation and therapeutic monitoring WY Yu, PX Lu, M Assadi, XL Huang, A Skrahin, A Rosenthal, A Gabrielian, ... Quantitative Imaging in Medicine and Surgery 9 (6), 1132, 2019 | 48 | 2019 |
| Genomic analyses of Mycobacterium tuberculosis from human lung resections reveal a high frequency of polyclonal infections M Moreno-Molina, N Shubladze, I Khurtsilava, Z Avaliani, N Bablishvili, ... Nature communications 12 (1), 2716, 2021 | 37 | 2021 |
| Using biomarkers to predict TB treatment duration (Predict TB): a prospective, randomized, noninferiority, treatment shortening clinical trial RY Chen, LE Via, LE Dodd, G Walzl, ST Malherbe, AG Loxton, R Dawson, ... Gates open research 1, 2017 | 33 | 2017 |
| Comparative analysis of machine learning algorithms on the microbial strain-specific AMP prediction B Vishnepolsky, M Grigolava, G Managadze, A Gabrielian, A Rosenthal, ... Briefings in Bioinformatics 23 (4), bbac233, 2022 | 30 | 2022 |
| Performance of Qure. ai automatic classifiers against a large annotated database of patients with diverse forms of tuberculosis E Engle, A Gabrielian, A Long, DE Hurt, A Rosenthal PLoS One 15 (1), e0224445, 2020 | 30 | 2020 |
| Differentiating between drug-sensitive and drug-resistant tuberculosis with machine learning for clinical and radiological features F Yang, H Yu, K Kantipudi, M Karki, YM Kassim, A Rosenthal, DE Hurt, ... Quantitative Imaging in Medicine and Surgery 12 (1), 675, 2022 | 28 | 2022 |
| Benchmarking the empirical accuracy of short-read sequencing across the M. tuberculosis genome M Marin, R Vargas Jr, M Harris, B Jeffrey, LE Epperson, D Durbin, ... Bioinformatics 38 (7), 1781-1787, 2022 | 27 | 2022 |
| A retrospective genomic analysis of drug-resistant strains of M. tuberculosis in a high-burden setting, with an emphasis on comparative diagnostics and … K Wollenberg, M Harris, A Gabrielian, N Ciobanu, D Chesov, A Long, ... BMC infectious diseases 20, 1-12, 2020 | 27 | 2020 |
Andrei GabrielianNIAID NIHEmail verificata su niaid.nih.gov