AIMC Topic: Cell Line, Tumor
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Synergistic Drug Combination Prediction by Integrating Multiomics Data in Deep Learning Models.
Methods in molecular biology (Clifton, N.J.)
Jan 1, 2021
Intrinsic and acquired drug resistance is a major challenge in cancer therapy. Synergistic drug combinations could help to overcome drug resistance. However, the number of possible drug combinations is enormous, and it is infeasible to experimentally...
Volatile constituents and in vitro activity of Syzygium aromaticum flower buds (clove) against human cancer cell lines.
Pakistan journal of pharmaceutical sciences
Nov 1, 2020
The methanolic extract (SA-EXT) of Syzygium aromaticum flower buds and its fractions tested against three human cancer cell lines viz uterine cervix (HeLa), breast (MCF-7) and lung NCI (H-460) using sulforhodamine-B assay. The ethyl acetate soluble s...
Synthesis and evaluation of a novel nanosized anionic linear globular dendrimer G2-ciprofloxacin conjugate against prostate cancer.
Pakistan journal of pharmaceutical sciences
Nov 1, 2020
Prostate cancer is the second most common cancer in the world and the fifth cause of cancer deaths in men. Ciprofloxacin enables the inhabitation of the development of prostate cancer. In this regard, we plan to improve the anticancer effect of cipro...
Assessing the Anti-cancer Therapeutic Mechanism of a Herbal Combination for Breast Cancer on System-level by a Network Pharmacological Approach.
Anticancer research
Sep 1, 2020
BACKGROUND/AIM: Accumulating evidence has shown therapeutic effects of herbals on breast cancer, a commonly diagnosed malignancy in women worldwide. However, their underlying mechanisms remain unclear. We aimed to explore the mode of action of a rece...
Enzyme-powered Janus platelet cell robots for active and targeted drug delivery.
Science robotics
Jun 10, 2020
Transforming natural cells into functional biocompatible robots capable of active movement is expected to enhance the functions of the cells and revolutionize the development of synthetic micromotors. However, present cell-based micromotor systems co...
Multifunctional surface microrollers for targeted cargo delivery in physiological blood flow.
Science robotics
May 20, 2020
Mobile microrobots offer great promise for minimally invasive targeted medical theranostic applications at hard-to-access regions inside the human body. The circulatory system represents the ideal route for navigation; however, blood flow impairs pro...
Expert knowledge for the recognition of leukemic cells.
Applied optics
May 10, 2020
This work shows the advantage of expert knowledge for leukemic cell recognition. In the medical area, visual analysis of microscopic images has regularly used biological samples to recognize hematological disorders. Nowadays, techniques of image reco...
Assessing the impact of generative AI on medicinal chemistry.
Nature biotechnology
Feb 1, 2020
Ensembled machine learning framework for drug sensitivity prediction.
IET systems biology
Feb 1, 2020
Drug sensitivity prediction is one of the critical tasks involved in drug designing and discovery. Recently several online databases and consortiums have contributed to providing open access to pharmacogenomic data. These databases have helped in dev...
A Deep Learning Framework for Predicting Response to Therapy in Cancer.
Cell reports
Dec 10, 2019
A major challenge in cancer treatment is predicting clinical response to anti-cancer drugs on a personalized basis. Using a pharmacogenomics database of 1,001 cancer cell lines, we trained deep neural networks for prediction of drug response and asse...
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