In vitro and in vivo local tolerability of a synergistic anti‐tuberculosis drug combination intended for pulmonary delivery
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Applied Toxicology"
DOI: 10.1002/jat.4381
Abstract: A drug combination, vancomycin (VAN) plus tetrahydrolipstatin (THL), has demonstrated an effective synergistic action in vitro against Mycobacterium tuberculosis (Mtb). The poor oral bioavailability of VAN and THL and the predominant tropism of Mtb infection… read more here.
Keywords: local tolerability; van; anti tuberculosis; combination ... See more keywords
Orthogonal array composite designs for drug combination experiments with applications for tuberculosis
Sign Up to like & getrecommendations! Published in 2022 at "Statistics in Medicine"
DOI: 10.1002/sim.9423
Abstract: The aim of this article is to provide an overview of the orthogonal array composite design (OACD) methodology, illustrate the various advantages, and provide a real‐world application. An OACD combines a two‐level factorial design with… read more here.
Keywords: array composite; drug combination; point; orthogonal array ... See more keywords
Predicting Drug Combination Index and Simulating the Network-Regulation Dynamics by Mathematical Modeling of Drug-Targeted EGFR-ERK Signaling Pathway
Sign Up to like & getrecommendations! Published in 2017 at "Scientific Reports"
DOI: 10.1038/srep40752
Abstract: Synergistic drug combinations enable enhanced therapeutics. Their discovery typically involves the measurement and assessment of drug combination index (CI), which can be facilitated by the development and applications of in-silico CI predictive tools. In this… read more here.
Keywords: combination; combination index; drug; drug combination ... See more keywords
Ultrasmall solid lipid nanoparticles as a potential innovative delivery system for a drug combination against glioma.
Sign Up to like & getrecommendations! Published in 2024 at "Nanomedicine"
DOI: 10.1080/17435889.2024.2434452
Abstract: INTRODUCTION High grade gliomas are characterized by a very poor prognosis due to fatal relapses after surgery. Current chemotherapy is only a palliative care, while potential drug candidates are limited by poor overcoming of the… read more here.
Keywords: ultrasmall solid; drug combination; solid lipid; lipid nanoparticles ... See more keywords
SNRMPACDC: computational model focused on Siamese network and random matrix projection for anticancer synergistic drug combination prediction
Sign Up to like & getrecommendations! Published in 2022 at "Briefings in bioinformatics"
DOI: 10.1093/bib/bbac503
Abstract: Synergistic drug combinations can improve the therapeutic effect and reduce the drug dosage to avoid toxicity. In previous years, an in vitro approach was utilized to screen synergistic drug combinations. However, the in vitro method… read more here.
Keywords: network; drug combination; prediction; synergistic drug ... See more keywords
Scaling up drug combination surface prediction
Sign Up to like & getrecommendations! Published in 2024 at "Briefings in Bioinformatics"
DOI: 10.1093/bib/bbaf099
Abstract: Drug combinations are required to treat advanced cancers and other complex diseases. Compared to monotherapy, combination treatments can enhance efficacy and reduce toxicity by lowering the doses of single drugs – and there especially synergistic… read more here.
Keywords: combination; response; surface; drug ... See more keywords
BridgeSyn: a bridging fusion framework for drug combination synergy prediction
Sign Up to like & getrecommendations! Published in 2025 at "Briefings in Bioinformatics"
DOI: 10.1093/bib/bbaf624
Abstract: Abstract Drug combination is a promising therapeutic strategy for complex diseases. However, only a small fraction of potential drug combinations exhibit true synergistic effects, making the prediction of drug synergy a critical yet challenging task.… read more here.
Keywords: fusion framework; fusion; drug; prediction ... See more keywords
Modeling drug combination effects via latent tensor reconstruction
Sign Up to like & getrecommendations! Published in 2021 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btab308
Abstract: Abstract Motivation Combination therapies have emerged as a powerful treatment modality to overcome drug resistance and improve treatment efficacy. However, the number of possible drug combinations increases very rapidly with the number of individual drugs… read more here.
Keywords: combination; tensor; drug; drug combination ... See more keywords
Efficacy of a Novel Ophthalmic Antimicrobial Drug Combination Toward a Large Panel of Staphylococcus aureus Clinical Ocular Isolates From Around the World.
Sign Up to like & getrecommendations! Published in 2020 at "Cornea"
DOI: 10.1097/ico.0000000000002414
Abstract: PURPOSE Staphylococcus aureus is a leading cause of keratitis requiring urgent antimicrobial treatment. However, rising antibiotic resistance has rendered current ophthalmic antibiotics increasingly ineffective. First, a diverse, ocular S. aureus strain set was evaluated for… read more here.
Keywords: combination; efficacy; resistance; rifampin ... See more keywords
An herbal drug combination identified by knowledge graph alleviates the clinical symptoms of plasma cell mastitis patients: A nonrandomized controlled trial
Sign Up to like & getrecommendations! Published in 2022 at "eLife"
DOI: 10.1101/2022.12.01.22282958
Abstract: Background Plasma cell mastitis (PCM) is a nonbacterial breast inflammation with severe and intense clinical manifestation yet treatment methods for PCM are still rather limited. Although the mechanism of PCM remains unclear, mounting evidences suggest… read more here.
Keywords: knowledge graph; drug; herbal drug; drug combination ... See more keywords
A drug combination prediction framework based on graph convolutional network and heterogeneous information.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE/ACM transactions on computational biology and bioinformatics"
DOI: 10.1109/tcbb.2022.3224734
Abstract: Combination therapy, which can improve therapeutic efficacy and reduce side effects, plays an important role in the treatment of complex diseases. Yet, a large number of possible combinations among candidate compounds limits our ability to… read more here.
Keywords: graph convolutional; network; drug combination; convolutional network ... See more keywords