The library of integrated network-based cellular signatures NIH program: system-level cataloging of human cells response to perturbations
The Library of Integrated Network-Based Cellular Signatures (LINCS) is an NIH Common
Fund program that catalogs how human cells globally respond to chemical, genetic, and …
Fund program that catalogs how human cells globally respond to chemical, genetic, and …
Identification and characterization of the novel bioactive compounds from microalgae and cyanobacteria for pharmaceutical and nutraceutical applications
S Hassan, R Meenatchi, K Pachillu… - Journal of Basic …, 2022 - Wiley Online Library
Microalgae and cyanobacteria (blue‐green algae) are used as food by humans. They have
gained a lot of attention in recent years because of their potential applications in …
gained a lot of attention in recent years because of their potential applications in …
A deep learning framework for high-throughput mechanism-driven phenotype compound screening and its application to COVID-19 drug repurposing
Phenotype-based compound screening has advantages over target-based drug discovery,
but is unscalable and lacks understanding of mechanism of drug action. A chemical-induced …
but is unscalable and lacks understanding of mechanism of drug action. A chemical-induced …
De novo generation of hit-like molecules from gene expression signatures using artificial intelligence
Finding new molecules with a desired biological activity is an extremely difficult task. In this
context, artificial intelligence and generative models have been used for molecular de novo …
context, artificial intelligence and generative models have been used for molecular de novo …
Connecting omics signatures and revealing biological mechanisms with iLINCS
There are only a few platforms that integrate multiple omics data types, bioinformatics tools,
and interfaces for integrative analyses and visualization that do not require programming …
and interfaces for integrative analyses and visualization that do not require programming …
DDR: efficient computational method to predict drug–target interactions using graph mining and machine learning approaches
Motivation Finding computationally drug–target interactions (DTIs) is a convenient strategy
to identify new DTIs at low cost with reasonable accuracy. However, the current DTI …
to identify new DTIs at low cost with reasonable accuracy. However, the current DTI …
Computational analyses of mechanism of action (MoA): data, methods and integration
The elucidation of a compound's Mechanism of Action (MoA) is a challenging task in the
drug discovery process, but it is important in order to rationalise phenotypic findings and to …
drug discovery process, but it is important in order to rationalise phenotypic findings and to …
Cell morphology-guided de novo hit design by conditioning GANs on phenotypic image features
Developing novel bioactive molecules is time-consuming, costly and rarely successful. As a
mitigation strategy, we utilize, for the first time, cellular morphology to directly guide the de …
mitigation strategy, we utilize, for the first time, cellular morphology to directly guide the de …
Drug repositioning in cancer: The current situation in Japan
T Masuda, Y Tsuruda, Y Matsumoto, H Uchida… - Cancer …, 2020 - Wiley Online Library
Cancer is a leading cause of death worldwide, and the incidence continues to increase.
Despite major research aimed at discovering and developing novel and effective anticancer …
Despite major research aimed at discovering and developing novel and effective anticancer …
Evaluation of connectivity map shows limited reproducibility in drug repositioning
N Lim, P Pavlidis - Scientific reports, 2021 - nature.com
Abstract The Connectivity Map (CMap) is a popular resource designed for data-driven drug
repositioning using a large transcriptomic compendium. However, evaluations of its …
repositioning using a large transcriptomic compendium. However, evaluations of its …