Results 11 to 20 of about 419,272 (285)

Network-based prediction of drug combinations

Nature Communications, 2019
Combination therapy holds great promise, but discovery remains challenging. Here, the authors propose a method to identify efficacious drug combinations for specific diseases, and find that successful combinations tend to target separate neighbourhoods ...
Feixiong Cheng, István A. Kovács, Albert-László Barabási   +2 more
doaj   +2 more sources

NLLSS: Predicting Synergistic Drug Combinations Based on Semi-supervised Learning. [PDF]

PLoS Computational Biology, 2016
Fungal infection has become one of the leading causes of hospital-acquired infections with high mortality rates. Furthermore, drug resistance is common for fungus-causing diseases.
Xing Chen, Biao Ren, Ming Chen, Quanxin Wang, Lixin Zhang, Guiying Yan   +5 more
doaj   +2 more sources

Synergistic and antagonistic drug combinations depend on network topology. [PDF]

PLoS ONE, 2014
Drug combinations may exhibit synergistic or antagonistic effects. Rational design of synergistic drug combinations remains a challenge despite active experimental and computational efforts.
Ning Yin, Wenzhe Ma, Jianfeng Pei, Qi Ouyang, Chao Tang, Luhua Lai   +5 more
doaj   +3 more sources

Guided screen for synergistic three-drug combinations.

PLoS ONE, 2020
Combinations of three or more drugs are routinely used in various medical fields such as clinical oncology and infectious diseases to prevent resistance or to achieve synergistic therapeutic benefits.
Melike Cokol-Cakmak, Selim Cetiner, Nurdan Erdem, Feray Bakan, Murat Cokol   +4 more
doaj   +2 more sources

Leishmania donovani develops resistance to drug combinations.

PLoS Neglected Tropical Diseases, 2012
Drug combinations for the treatment of leishmaniasis represent a promising and challenging chemotherapeutic strategy that has recently been implemented in different endemic areas.
Raquel García-Hernández, José Ignacio Manzano, Santiago Castanys, Francisco Gamarro   +3 more
doaj   +2 more sources

piscesCSM: prediction of anticancer synergistic drug combinations

Journal of Cheminformatics
While drug combination therapies are of great importance, particularly in cancer treatment, identifying novel synergistic drug combinations has been a challenging venture.
Raghad AlJarf, Carlos H. M. Rodrigues, Yoochan Myung, Douglas E. V. Pires, David B. Ascher   +4 more
doaj   +2 more sources

Potential Drug Dose-Specific Adverse Three-Drug Combinations: A US Insurance Claims Data-Based Study. [PDF]

Pharmacoepidemiol Drug Saf
Introduction: Use of three-drug combinations is increasingly prevalent and associated with an increased risk of adverse drug events (ADEs). While real-world data-based pharmacovigilance and pharmacoepidemiology studies have derived knowledge on potential
Shi Y, Sun A, Chiang CW, Yang Y, Hunold KM, Xu J, Russo M, Caterino J, Eadon MT, Li L, Su J, Donneyong M, Zhang P.   +12 more
europepmc   +2 more sources

AI-driven discovery of synergistic drug combinations against pancreatic cancer. [PDF]

Nat Commun
Treatment regimens, especially in cancer, often include more than one medicine in order to achieve durable outcomes. Identifying the optimal combination of treatments has historically been done through clinical trial and error.
Pourmousa M, Jain S, Barnaeva E, Jin W, Hochuli J, Itkin Z, Maxfield T, Melo-Filho C, Thieme A, Wilson K, Klumpp-Thomas C, Michael S, Southall N, Jaakkola T, Muratov EN, Barzilay R, Tropsha A, Ferrer M, Zakharov AV.   +18 more
europepmc   +2 more sources

New In Vitro-In Silico Approach for the Prediction of In Vivo Performance of Drug Combinations [PDF]

, 2021
Pharmacokinetic (PK) studies improve the design of dosing regimens in preclinical and clinical settings. In complex diseases like cancer, single-agent approaches are often insufficient for an effective treatment, and drug combination therapies can be ...
Cristiana Correia, Arto Urtti, Yliperttula, Marjo, Vale, Nuno, Joana Santos, Rui Lapa, Abigail Ferreira, Marjo Yliperttula, Lapa, Rui, Urtti, Arto, Correia, Cristiana, Nuno Vale, Ferreira, Abigail, Santos, Joana   +13 more
core   +1 more source

Understanding the Clinical Use of Levosimendan and Perspectives on its Future in Oncology

Biomolecules, 2023
Drug repurposing, also known as repositioning or reprofiling, has emerged as a promising strategy to accelerate drug discovery and development. This approach involves identifying new medical indications for existing approved drugs, harnessing the ...
Eduarda Ribeiro, Nuno Vale
doaj   +1 more source