J. Tang

This study uses ReSisTrace to identify pre-sensitizing agents for FLT3 inhibitors in FLT3-ITD-positive AML by analyzing transcriptional signatures and validating compounds that enhance treatment efficacy.

This study identifies BX-912 as a therapeutic agent for ovarian serous carcinoma, revealing HES1 as a target and showing synergistic effects with olaparib.

This study identifies a new IMiD-independent drug targeting SALL4's ZFC4 domain, leading to significant tumor growth inhibition in vivo.

HerbComb is a database that identifies synergistic herbal medicine combinations by analyzing gene signatures and pharmacological properties, validated using Tongxinluo for Stroke.

This study identifies molecular mechanisms of carfilzomib resistance in multiple myeloma using multi-omics data from cell lines and patient samples, revealing potential drug combinations to overcome resistance.

The paper evaluates predictive models for immune checkpoint inhibitor outcomes in NSCLC using clinical trial data from two RCTs, finding that models combining PD-L1, TMB, and immune signatures outperform single biomarkers.

The paper introduces ReSisTrace, a method to identify pre-resistant cell states in cancer by analyzing sister cells, and validates its use in ovarian cancer models.

The paper develops an ensemble transformer model using gene and chemical descriptions to extract drug-target interactions from biomedical literature, achieving high performance on a benchmark dataset.

Herb-CMap identifies bioactive ingredients in herbal medicine by integrating gene perturbation data with a random walk algorithm, revealing molecular mechanisms of action for treating cough variant asthma.

PRO-LDM generates protein sequences with tailored properties using a conditional latent diffusion model, enhancing diversity and design fidelity.

This paper shows artemisitene reduces Schistosoma japonicum infection and liver damage in mice by killing parasites and modulating immune responses.

This study investigates the role of TIE1 and its interaction with TIE2 in venous development, finding that TIE1 restricts angiogenic sprouting to coordinate vein formation.

This paper establishes a hairy root culture and genetic transformation system in Stephania tetrandra to enhance bisbenzylisoquinoline alkaloid production.

This paper develops a polymer, OPDMA, that enables noninvasive transdermal insulin delivery in diabetic mice and minipigs, achieving hypoglycemic effects comparable to subcutaneous injection.

This study identifies RCF1 as a key player in miRNA biogenesis and RNA splicing in Arabidopsis by showing its role in pri-miRNA processing and splicing defects in a mutant.

This study shows that peptide-poloxamine-DNA nanoparticles provide complete protection against lethal SARS-CoV-2 challenge through robust mucosal immunity.

This study compares Cox proportional hazards and optimal survival tree models for prognostic modeling of endometrial cancer using clinical and molecular data, finding linear models better for clinical features alone and tree models better with molecular data.

This study identifies TACAN as a PKD2 inhibitor that modulates its channel activity and mechano sensitivity in renal cells and zebrafish.

This study introduces a gene essentiality signature to predict drug mechanisms of action and target interactions, showing improved accuracy over existing methods.

This study shows a nanoparticle vaccine induces broad neutralizing antibodies against multiple SARS-CoV-2 variants and protects non-human primates and mice from viral challenges.

This paper uses BERT to identify and extract drug-target interactions from PubMed, finding 2.1 million previously unlisted studies with ~99% accuracy in detecting drug-target pairs.

This paper introduces a drug repurposing method using chemical and genomic data to score compounds for 674 cancer types and other diseases, with results matching ongoing clinical trials.

This study uses multipartite network models to predict effective drug combinations and patient subclasses in acute myeloid leukemia using drug response data.

This study investigates how photoperiod affects mu-opioid receptor availability in brown adipose tissue using PET imaging and immunofluorescence in rats.

SynergyFinder Plus improves interpretation and annotation of drug combination screening data through updated methods and a web interface.

This study shows that diet, particularly pollen polysaccharides, has a greater impact on shaping gut microbiomes in Asian honeybees than genetics.

NIMAA is an R package for nominal data mining that provides tools for graph construction, clustering, and visualization, applied to a biological dataset.

The paper hosts a DREAM Challenge to evaluate computational models for predicting drug polypharmacology using perturbational profile data from 32 kinase inhibitors.

This study identifies TAGLN as a new gene involved in LDL endocytosis through a CRISPR-Cas9 screen and shows its association with plasma lipid levels.