Search
Search Results
-
MFSynDCP: multi-source feature collaborative interactive learning for drug combination synergy prediction
Drug combination therapy is generally more effective than monotherapy in the field of cancer treatment. However, screening for effective synergistic...
-
Harmonizing across datasets to improve the transferability of drug combination prediction
Combination treatment has multiple advantages over traditional monotherapy in clinics, thus becoming a target of interest for many high-throughput...
-
EDST: a decision stump based ensemble algorithm for synergistic drug combination prediction
IntroductionThere are countless possibilities for drug combinations, which makes it expensive and time-consuming to rely solely on clinical trials to...
-
A network-based drug prioritization and combination analysis for the MEK5/ERK5 pathway in breast cancer
BackgroundPrioritizing candidate drugs based on genome-wide expression data is an emerging approach in systems pharmacology due to its holistic...
-
Dose–response prediction for in-vitro drug combination datasets: a probabilistic approach
In this paper we propose PIICM, a probabilistic framework for dose–response prediction in high-throughput drug combination datasets. PIICM utilizes a...
-
Synergistic effect of a nonsteroidal anti-inflammatory drug in combination with topotecan on small cell lung cancer cells
BackgroundThe topoisomerase I inhibitor topotecan (TPT) is used in the treatment of recurrent small cell lung cancer (SCLC). However, the drug has a...
-
Drug-herb combination therapy in cancer management
Cancer is the second leading cause of fatality all over the world. Various unwanted side effects are being reported with the use of conventional...
-
Treatment of Cancer Using Combination of Herbal and Novel Drug Delivery System
Nanotechnology and nanoengineering tend to generate significant scientific and technological push on in diverse domain including medicine and...
-
Investigating Combination Therapy as a Means to Enhance Activity and Repurpose Antimicrobials
Current clinical practice assumes that a single antibiotic given as a bolus or as a course will successfully treat most infections. In modern...
-
SSF-DDI: a deep learning method utilizing drug sequence and substructure features for drug–drug interaction prediction
BackgroundDrug–drug interactions (DDI) are prevalent in combination therapy, necessitating the importance of identifying and predicting potential...
-
The combination of immune checkpoint inhibitors and antibody-drug conjugates in the treatment of urogenital tumors: a review insights from phase 2 and 3 studies
With the high incidence of urogenital tumors worldwide, urinary system tumors are among the top 10 most common tumors in men, with prostate cancer...
-
A combination strategy of a semisynthetic macrolide, 5-O-mycaminosyltylonolide with polymyxin B nonapeptide for multi-drug resistance P. aeruginosa
The emergence and spread of antimicrobial resistant pathogens continue to threaten our ability to combat several infections. Among them, Pseudomonas...
-
HetBiSyn: Predicting Anticancer Synergistic Drug Combinations Featuring Bi-perspective Drug Embedding with Heterogeneous Data
Synergistic drug combination is a promising solution to cancer treatment. Since the combinatorial space of drug combinations is too vast to be...
-
Computational Pipeline for Rational Drug Combination Screening in Patient-Derived Cells
In many complex diseases, such as cancers, resistance to monotherapies easily occurs, and longer-term treatment responses often require combinatorial...
-
Bioinformatics in Drug Discovery
Drug discovery requires high cost and is a time-consuming process, and the facilitation of computer-based drug design methods is one of the most...
-
Drug Repurposing and Computational Drug Discovery for Viral Infections and COVID-19
Coronavirus that has caused severity in the present-day situation since 2019 has high morbidity and mortality rate leading to the pandemic. The...
-
Additivity predicts the efficacy of most approved combination therapies for advanced cancer
Most advanced cancers are treated with drug combinations. Rational design aims to identify synergistic combinations, but existing synergy metrics...
-
Mechanisms, combination therapy, and biomarkers in cancer immunotherapy resistance
Anti-programmed death 1/programmed death ligand 1 (anti-PD-1/PD-L1) antibodies exert significant antitumor effects by overcoming tumor cell immune...
-
Bayesian Optimization in Drug Discovery
Drug discovery deals with the search for initial hits and their optimization toward a targeted clinical profile. Throughout the discovery pipeline,...