Results 141 to 150 of about 696 (191)

The Deep Mining Era: Genomic, Metabolomic, and Integrative Approaches to Microbial Natural Products from 2018 to 2024. [PDF]

Mar Drugs
Wang Z, Yu J, Wang C, Hua Y, Wang H, Chen J.   +5 more
europepmc   +1 more source

Multi-omics and artificial intelligence for precision drug discovery and potential clinical applications. [PDF]

Signal Transduct Target Ther
Liu Y, Zhu K, Peng W, Liu Z, Mao X.
europepmc   +1 more source

Rotaxane synthesis <i>via</i> a dynamic [2]catenane-ring-opening, axle-cleaving double cross metathesis. [PDF]

RSC Adv
Cetin MM, Mazumdar A, Cordes DB, Fidan VG, Yang Z, Mayer MF.   +5 more
europepmc   +1 more source

VeGA-RX and VeGA-SCX: Controllable SMARTS-Guided Generative Transformers for Precision-Driven <i>De Novo</i> Drug Design. [PDF]

J Chem Inf Model
Delre P, Bellofatto G, Lavecchia A.
europepmc   +1 more source

FKSUDDAPre: A drug-disease association prediction framework based on F-TEST feature selection and AMDKSU resampling with interpretability analysis. [PDF]

PLoS Comput Biol
Zuo Y, Zhang C, Hua G, Ning Q, Liu X, Zeng X, Deng Z.   +6 more
europepmc   +1 more source

Identify drug-drug interactions via deep learning: A real world study. [PDF]

J Pharm Anal
Li J, Zhao Y, Wang Z, Lei C, Wu L, Zhang Y, He S, Bo X, Xiao J.   +8 more
europepmc   +1 more source

Automation and machine learning augmented by large language models in a catalysis study. [PDF]

Chem Sci
Su Y, Wang X, Ye Y, Xie Y, Xu Y, Jiang Y, Wang C.   +6 more
europepmc   +1 more source

Artificial Intelligence-Driven Natural Product Discovery for Cancer Metastasis and Chemoresistance: From Computational Prediction to Preclinical Validation. [PDF]

Cancers (Basel)
Hussein MA, Munirathinam G.
europepmc   +1 more source