Results 31 to 40 of about 2,938,349 (358)
Explaining drug-resistant infection in community pharmacies through effective information design [PDF]
, 2020 This paper describes a research project in which information design, human factors, architecture and pharmacy academics worked with pharmacy professionals and pharmacy users to consider how to present information about antimicrobial resistance (AMR) in a
Hignett, Sue +4 more
core +1 more source
Deep Denerative Models for Drug Design and Response [PDF]
arXiv, 2021 Designing new chemical compounds with desired pharmaceutical properties is a challenging task and takes years of development and testing. Still, a majority of new drugs fail to prove efficient. Recent success of deep generative modeling holds promises of generation and optimization of new molecules.
arxiv
Graph-augmented Convolutional Networks on Drug-Drug Interactions Prediction [PDF]
, 2019 We propose an end-to-end model to predict drug-drug interactions (DDIs) by employing graph-augmented convolutional networks. And this is implemented by combining graph CNN with an attentive pooling network to extract structural relations between drug pairs and make DDI predictions. The experiment results suggest a desirable performance achieving ROC at
arxiv +1 more source
Molecular Modeling in Drug Design [PDF]
Molecules, 2019 This Special Issue contains thirteen articles that provide a vivid snapshot of the state-of-the-art of molecular modeling in drug design, illustrating recent advances and critically discussing important challenges [...]
Outi M. H. Salo-Ahen +2 more
openaire +5 more sources
Programmable biomaterials for dynamic and responsive drug delivery [PDF]
, 2016 Biomaterials are continually being designed that enable new methods for interacting dynamically with cell and tissues, in turn unlocking new capabilities in areas ranging from drug delivery to regenerative medicine. In this review, we explore some of the
Almquist, BD, Kiani, MT, Stejskalova, A
core +1 more source
Angiogenic signaling pathways and anti-angiogenic therapy for cancer
Signal Transduction and Targeted Therapy, 2023 Angiogenesis, the formation of new blood vessels, is a complex and dynamic process regulated by various pro- and anti-angiogenic molecules, which plays a crucial role in tumor growth, invasion, and metastasis.
Zhen-Ling Liu +4 more
doaj +1 more source
The Balanced Matrix Factorization for Computational Drug Repositioning [PDF]
arXiv, 2023 Computational drug repositioning aims to discover new uses of drugs that have been marketed. However, the existing models suffer from the following limitations. Firstly, in the real world, only a minority of diseases have definite treatment drugs. This leads to an imbalance in the proportion of validated drug-disease associations (positive samples) and
arxiv
Customizing the therapeutic response of signaling networks to promote antitumor responses by drug combinations [PDF]
, 2014 Drug resistance, de novo and acquired, pervades cellular signaling networks (SNs) from one signaling motif to another as a result of cancer progression and/or drug intervention.
Bown, James L. +4 more
core +3 more sources
Cell Communication and Signaling, 2018 Background Knockdown of Akt1 promotes Epithelial-to-Mesenchymal Transition in breast cancer cells. However, the mechanisms are not completely understood.
Wei Li +9 more
doaj +1 more source
ALNSynergy: a graph convolutional network with multi-representation alignment for drug synergy prediction [PDF]
arXiv, 2023 Drug combination refers to the use of two or more drugs to treat a specific disease at the same time. It is currently the mainstream way to treat complex diseases. Compared with single drugs, drug combinations have better efficacy and can better inhibit toxicity and drug resistance.
arxiv