Article in Science translational medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
2 · The registry
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what money
Authors and funding
25 authors.
Melis N AnahtarInfectious Disease and Microbiome Program, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.ORCID 0000-0003-0309-368X
Jacqueline A ValeriInfectious Disease and Microbiome Program, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.ORCID 0000-0002-3430-5924
Seyed Majed ModaresiInfectious Disease and Microbiome Program, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.ORCID 0000-0001-9747-9748
Aarti KrishnanInfectious Disease and Microbiome Program, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.ORCID 0000-0002-7936-4442
Nina M DonghiaWyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA 02215, USA.ORCID 0000-0003-0826-904X
Samantha G PalaceDepartment of Immunology and Infectious Diseases, Harvard T. H. Chan School of Public Health, Boston, MA 02115, USA.ORCID 0000-0002-7849-8078
Erica J ZhengInfectious Disease and Microbiome Program, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
Aakanksha GulatiWyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA 02215, USA.ORCID 0000-0003-2569-6641
Alicia JorgensonWyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA 02215, USA.
Abidemi JunaidWyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA 02215, USA.ORCID 0000-0001-8562-7942
Parijat BandyopadhyayInfectious Disease and Microbiome Program, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.ORCID 0000-0002-9666-7445
Andreas LuttensInfectious Disease and Microbiome Program, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.ORCID 0000-0003-2915-7901
Krishna SureshHarvard Medical School, Boston, MA 02115, USA.
Paige EdwardsInfectious Disease and Microbiome Program, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.ORCID 0009-0003-4886-2398
Felix WongInfectious Disease and Microbiome Program, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.ORCID 0000-0002-2309-8835
Yu ZhangInfectious Disease and Microbiome Program, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.ORCID 0000-0003-3643-6589
Danilo RitzProteomics Core Facility, Biozentrum, University of Basel, Basel CH-4056, Switzerland.ORCID 0009-0004-8603-9754
Margaux GaborieauDepartment of Microbiology, Tumor, and Cell Biology, Karolinska Institute, 171 77 Stockholm, Sweden.ORCID 0009-0003-5976-9105
Edmund LohDepartment of Microbiology, Tumor, and Cell Biology, Karolinska Institute, 171 77 Stockholm, Sweden.ORCID 0000-0001-7050-566X
Massimiliano GaetaniDivision of Chemistry I, Department of Medical Biochemistry and Biophysics, Karolinska Institute, 17 177 Stockholm, Sweden.ORCID 0000-0001-5610-0797
Marie-Stephanie AschtgenDepartment of Microbiology, Tumor, and Cell Biology, Karolinska Institute, 171 77 Stockholm, Sweden.ORCID 0000-0003-2413-8226
Amir Ata SaeiDepartment of Microbiology, Tumor, and Cell Biology, Karolinska Institute, 171 77 Stockholm, Sweden.
Yonatan H GradDepartment of Immunology and Infectious Diseases, Harvard T. H. Chan School of Public Health, Boston, MA 02115, USA.ORCID 0000-0001-5646-1314
Donald E IngberWyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA 02215, USA.ORCID 0000-0002-4319-6520
James J CollinsInfectious Disease and Microbiome Program, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.ORCID 0000-0002-5560-8246
Funding
Genetic, Metabolic and Regulatory Control of MIC and Relapse in M. tuberculosisR01AI146194 · NIAID · UNIVERSITY OF WASHINGTON · PI ALLAND, DAVID, SHERMAN, DAVID R · 2020 to 2024
$4.1M
Genomics approaches to elucidating pathways to antibiotic resistance in Neisseria gonorrhoeaeR01AI132606 · NIAID · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI Yonatan H Grad · 2017 to 2026
$3.8M
Identification and analysis of compensatory mutations that support the evolution of antibiotic resistance in Neisseria gonorrhoeaeR01AI153521 · NIAID · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI GRAD, YONATAN H, JERSE, ANN E. · 2020 to 2024
$3.7M
Harnessing machine learning to develop new antibiotics for Neisseria gonorrhoeaeK08AI182474 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI Melis N. Anahtar · 2024 to 2026
$590k
Physical Biology and Deep Learning for Antibiotic Resistance and DiscoveryK25AI168451 · NIAID · BROAD INSTITUTE, INC. · PI Felix Wong · 2023 to 2026
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.
Deep learning-enabled discovery of antibiotics effective against · full record | OpenQuestion