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A generative deep learning approach to de novo antibiotic design

Cell(2025)10.1016/j.cell.2025.07.033Source: DataRank Database

A generative deep learning approach to de novo antibiotic design is a research paper published in Cell (2025). On theSindex it has a DataRank of 0. It has been cited 66 times.

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Enrichment:Funding (24 grants)OA: greenTopics (37)IDs (PubMed, PMC)Annotations (1)

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Open Access

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Authors (32)

Melis N. Anahtar ORCID,Jacqueline A. Valeri ORCID,Wengong Jin ORCID,Nina M. Donghia ORCID,Leif Sieben ORCID

Live enrichment

PubMed:40816267 PMC:PMC12790861

NIAID NIH HHS

Grant: 75N93021C00002

NIAID NIH HHS

Grant: K08 AI182474

NIAID NIH HHS

Grant: K25 AI168451

Swiss National Science Foundation

Grant: 203071

NIGMS NIH HHS

Grant: T32 GM144273

NIAID NIH HHS

Grant: R01 AI132606

NIAID NIH HHS

Grant: R01 AI146194

NIAID NIH HHS

Grant: R01 AI153521

Knut and Alice Wallenberg Foundation

Grant: unidentified

unidentified

Oracle Corporation

Knut and Alice Wallenberg Foundation

NIH National Institute of General Medical Sciences

Wyss Foundation

National Institute of Allergy and Infectious Diseases

National Institute of Allergy and Infectious Diseases Division of Intramural Research

Siebel Scholars Foundation

Swiss National Science Foundation

Audacious Project

Defense Threat Reduction Agency

James S McDonnell Foundation

National Institutes of Health

Flu Lab LLC

National Science Foundation Graduate Research Fellowship Program

Broad Institute

greenLicense: Elsevier TDM

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC12790861/

publisherhttps://api.elsevier.com/content/article/PII:S0092867425008554?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S0092867425008554?httpAccept=text/plain

https://doi.org/10.1016/j.cell.2025.07.033

https://pubmed.ncbi.nlm.nih.gov/40816267

Fields of Study

0301 basic medicine03 medical and health sciences

MeSH Terms

AnimalsHumansMiceNeisseria gonorrhoeaeStaphylococcus aureusGonorrheaStaphylococcal InfectionsAnti-Bacterial AgentsMicrobial Sensitivity TestsDrug DesignFemaleMethicillin-Resistant Staphylococcus aureusDeep Learning

Keywords

AntibioticsStaphylococcus aureusDe novo designFragmentsNeisseria gonorrhoeaedrug discoveryBacterial InfectionMachine LearningGraph Neural NetworksGenerative Artificial IntelligenceMethicillin-Resistant Staphylococcus aureusMicrobial Sensitivity TestsStaphylococcal InfectionsArticleAnti-Bacterial AgentsMiceGonorrheaDeep LearningDrug DesignAnimalsHumansFemale

A generative deep learning approach to de novo antibiotic design

FAIR Checklist

Authors (32)

Funding (24 grants)

Open Access

Topics

Annotations (Europe PMC)