Results 1 to 10 of about 9,097,693 (196)
Genomics, Proteomics & Bioinformatics, 2022 Combinatorial therapies have been recently proposed to improve the efficacy of anticancer treatment. The SynergyFinder R package is a software used to analyze pre-clinical drug combination datasets.
Shuyu Zheng +7 more
doaj +4 more sources
The recent progress of deep-learning-based in silico prediction of drug combination
Drug Discovery Today, 2023 Drug combination therapy has become a common strategy for the treatment of complex diseases. There is an urgent need for computational methods to efficiently identify appropriate drug combinations owing to the high cost of experimental screening.
Ting Ran, Yuedong Yang, Zhiguang Fan
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Machine learning approaches for drug combination therapies
Briefings in Bioinformatics, 2021 Drug combination therapy is a promising strategy to treat complex diseases such as cancer and infectious diseases. However, current knowledge of drug combination therapies, especially in cancer patients, is limited because of adverse drug effects ...
Hiroshi Mamitsuka, Samuel Kaski
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Predicting drug combination response surfaces. [PDF]
NPJ Drug DiscovPrediction of drug combination responses is a research question of growing importance for cancer and other complex diseases. Current machine learning approaches generally consider predicting either drug combination synergy summaries or single combination
Huusari R +4 more
europepmc +2 more sources
Drug Combination in Cancer Treatment—From Cocktails to Conjugated Combinations
Cancers, 2021 Simple Summary Chemotherapy is a key modality in today’s practice of clinical oncology. The potential for systemic treatment of cancer patients with cytotoxic agents was discovered in the mid 20th century and its major shortcomings namely, off target ...
Gary Gellerman +2 more
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Frontiers in PharmacologyFormononetin (FMN) is a common natural metabolite that can be extracted and isolated from some common botanical drugs. In recent years, FMN has garnered increasing attention due to its beneficial biological activities.
Min Jin +12 more
doaj +3 more sources
Improving synergistic drug combination prediction with signature-based gene expression features in oncology [PDF]
Frontiers in PharmacologyBackgroundCombination therapies play a crucial role in the treatment of complex diseases, such as cancer. They enhance efficacy, minimize resistance, and reduce toxicity by leveraging synergistic effects.
Mozhgan Mozaffarilegha +1 more
doaj +2 more sources
Novel Developments to Enable Treatment of CNS Diseases with Targeted Drug Delivery
Pharmaceutics, 2023 The blood-brain barrier (BBB) is a major hurdle for the development of systemically delivered drugs against diseases of the central nervous system (CNS).
Axel H. Meyer +5 more
doaj +1 more source
Frontiers in Endocrinology, 2023 Diabetes is a chronic metabolic disease, and its therapeutic goals focus on the effective management of blood glucose and various complications. Drug combination therapy has emerged as a comprehensive treatment approach for diabetes. An increasing number
Xue-Qin Xie +10 more
semanticscholar +1 more source
Influenza Treatment: Limitations of Antiviral Therapy and Advantages of Drug Combination Therapy
Microorganisms, 2023 Influenza infection is serious and debilitating for humans and animals. The influenza virus undergoes incessant mutation, segment recombination, and genome reassortment.
Sania Batool +2 more
semanticscholar +1 more source