Header Logo

Connection

Christopher Sassetti to Antitubercular Agents

This is a "connection" page, showing publications Christopher Sassetti has written about Antitubercular Agents.
Connection Strength

5.006
  1. Oluoch PO, Koh EI, Proulx MK, Reames CJ, Papavinasasundaram KG, Murphy KC, Zimmerman MD, Dartois V, Sassetti CM. Chemical genetic interactions elucidate pathways controlling tuberculosis antibiotic efficacy during infection. Proc Natl Acad Sci U S A. 2025 Mar 04; 122(9):e2417525122.
    View in: PubMed
    Score: 0.896
  2. Luna MJ, Oluoch PO, Miao J, Culviner P, Papavinasasundaram K, Jaecklein E, Shell SS, Ioerger TR, Fortune SM, Farhat MR, Sassetti CM. Frequently arising ESX-1-associated phase variants influence Mycobacterium tuberculosis fitness in the presence of host and antibiotic pressures. mBio. 2025 Mar 12; 16(3):e0376224.
    View in: PubMed
    Score: 0.892
  3. Koh EI, Oluoch PO, Ruecker N, Proulx MK, Soni V, Murphy KC, Papavinasasundaram K, Reames CJ, Trujillo C, Zaveri A, Zimmerman MD, Aslebagh R, Baker RE, Shaffer SA, Guinn KM, Fitzgerald M, Dartois V, Ehrt S, Hung DT, Ioerger TR, Rubin EJ, Rhee KY, Schnappinger D, Sassetti CM. Chemical-genetic interaction mapping links carbon metabolism and cell wall structure to tuberculosis drug efficacy. Proc Natl Acad Sci U S A. 2022 04 12; 119(15):e2201632119.
    View in: PubMed
    Score: 0.734
  4. Bellerose MM, Baek SH, Huang CC, Moss CE, Koh EI, Proulx MK, Smith CM, Baker RE, Lee JS, Eum S, Shin SJ, Cho SN, Murray M, Sassetti CM. Common Variants in the Glycerol Kinase Gene Reduce Tuberculosis Drug Efficacy. mBio. 2019 07 30; 10(4).
    View in: PubMed
    Score: 0.609
  5. Baer CE, Rubin EJ, Sassetti CM. New insights into TB physiology suggest untapped therapeutic opportunities. Immunol Rev. 2015 Mar; 264(1):327-43.
    View in: PubMed
    Score: 0.449
  6. Olive AJ, Sassetti CM. New TB treatments hiding in plain sight. EMBO Mol Med. 2015 Feb; 7(2):125-6.
    View in: PubMed
    Score: 0.446
  7. Baek SH, Li AH, Sassetti CM. Metabolic regulation of mycobacterial growth and antibiotic sensitivity. PLoS Biol. 2011 May; 9(5):e1001065.
    View in: PubMed
    Score: 0.345
  8. Jaecklein E, Papavinasasundaram K, Ostroff GR, Sassetti C, Soto ER. Targeted delivery of antitubercular drugs using glucan lipid particles. Microbiol Spectr. 2025 Mar 04; 13(3):e0274424.
    View in: PubMed
    Score: 0.223
  9. Johnson EO, LaVerriere E, Office E, Stanley M, Meyer E, Kawate T, Gomez JE, Audette RE, Bandyopadhyay N, Betancourt N, Delano K, Da Silva I, Davis J, Gallo C, Gardner M, Golas AJ, Guinn KM, Kennedy S, Korn R, McConnell JA, Moss CE, Murphy KC, Nietupski RM, Papavinasasundaram KG, Pinkham JT, Pino PA, Proulx MK, Ruecker N, Song N, Thompson M, Trujillo C, Wakabayashi S, Wallach JB, Watson C, Ioerger TR, Lander ES, Hubbard BK, Serrano-Wu MH, Ehrt S, Fitzgerald M, Rubin EJ, Sassetti CM, Schnappinger D, Hung DT. Large-scale chemical-genetics yields new M. tuberculosis inhibitor classes. Nature. 2019 07; 571(7763):72-78.
    View in: PubMed
    Score: 0.151
  10. Kieser KJ, Baranowski C, Chao MC, Long JE, Sassetti CM, Waldor MK, Sacchettini JC, Ioerger TR, Rubin EJ. Peptidoglycan synthesis in Mycobacterium tuberculosis is organized into networks with varying drug susceptibility. Proc Natl Acad Sci U S A. 2015 Oct 20; 112(42):13087-92.
    View in: PubMed
    Score: 0.117
  11. Ioerger TR, O'Malley T, Liao R, Guinn KM, Hickey MJ, Mohaideen N, Murphy KC, Boshoff HI, Mizrahi V, Rubin EJ, Sassetti CM, Barry CE, Sherman DR, Parish T, Sacchettini JC. Identification of new drug targets and resistance mechanisms in Mycobacterium tuberculosis. PLoS One. 2013; 8(9):e75245.
    View in: PubMed
    Score: 0.102
  12. Grover S, Engelhart CA, P?rez-Herr?n E, Li W, Abrahams KA, Papavinasasundaram K, Bean JM, Sassetti CM, Mendoza-Losana A, Besra GS, Jackson M, Schnappinger D. Two-Way Regulation of MmpL3 Expression Identifies and Validates Inhibitors of MmpL3 Function in Mycobacterium tuberculosis. ACS Infect Dis. 2021 01 08; 7(1):141-152.
    View in: PubMed
    Score: 0.042
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.