Results 141 to 150 of about 2,729,950 (336)

Potential therapeutic targeting of BKCa channels in glioblastoma treatment

Molecular Oncology, EarlyView.
This review summarizes current insights into the role of BKCa and mitoBKCa channels in glioblastoma biology, their potential classification as oncochannels, and the emerging pharmacological strategies targeting these channels, emphasizing the translational challenges in developing BKCa‐directed therapies for glioblastoma treatment.
Kamila Maliszewska‐Olejniczak, Karolina Pytlak, Sandra Jaworowska, Bogusz Kulawiak, Piotr Bednarczyk   +4 more
wiley   +1 more source

Network-Based Methods for Prediction of Drug-Target Interactions

Frontiers in Pharmacology, 2018
Drug-target interaction (DTI) is the basis of drug discovery. However, it is time-consuming and costly to determine DTIs experimentally. Over the past decade, various computational methods were proposed to predict potential DTIs with high efficiency and ...
Zengrui Wu, Weihua Li, Guixia Liu, Yun Tang   +3 more
doaj   +1 more source

Cell surface interactome analysis identifies TSPAN4 as a negative regulator of PD‐L1 in melanoma

Molecular Oncology, EarlyView.
Using cell surface proximity biotinylation, we identified tetraspanin TSPAN4 within the PD‐L1 interactome of melanoma cells. TSPAN4 negatively regulates PD‐L1 expression and lateral mobility by limiting its interaction with CMTM6 and promoting PD‐L1 degradation.
Guus A. Franken, Andrea Abel Gutierrez, Imke van Rossum, Cornelia G. Spruijt, Michiel Vermeulen, Guido van Mierlo, Blanca Scheijen, Annemiek B. van Spriel   +7 more
wiley   +1 more source

Knowledge Graph Completion to Predict Polypharmacy Side Effects

, 2018
The polypharmacy side effect prediction problem considers cases in which two drugs taken individually do not result in a particular side effect; however, when the two drugs are taken in combination, the side effect manifests. In this work, we demonstrate
AM Manicone, D Sridhar, D Szklarczyk, DA Fishman, F Cheng, GE Hinton, HG Munshi, M Kuhn, M Zitnik, N. P. Tatonetti, W Zhang   +10 more
core   +1 more source

DHLP 1&2: Giraph based distributed label propagation algorithms on heterogeneous drug-related networks

, 2020
Background and Objective: Heterogeneous complex networks are large graphs consisting of different types of nodes and edges. The knowledge extraction from these networks is complicated. Moreover, the scale of these networks is steadily increasing.
Ghadiri, Nasser, Maleki, Erfan Farhangi, Maleki, Zeinab, Shahreza, Maryam Lotfi   +3 more
core   +1 more source

Challenges and solutions in drug-target interaction prediction [PDF]

, 2020
When a drug is developed, it is designed so that it interacts with a specific target of interest in order to achieve the desired therapeutic effect. However, it is quite common to later find that the developed drug also interacts with multiple other targets that were not intended during its development.
openaire   +2 more sources

PARP inhibition and pharmacological ascorbate demonstrate synergy in castration‐resistant prostate cancer

Molecular Oncology, EarlyView.
Pharmacologic ascorbate (vitamin C) increases ROS, disrupts cellular metabolism, and induces DNA damage in CRPC cells. These effects sensitize tumors to PARP inhibition, producing synergistic growth suppression with olaparib in vitro and significantly delayed tumor progression in vivo. Pyruvate rescue confirms ROS‐dependent activity.
Nicolas Gordon, Peter T. Gallagher, Orly I. Richter, Neermala Poudel Neupane, Amy C. Mandigo, Jennifer J. McCann, Emanuela Dylgjeri, Irina Vasilevskaya, Christopher McNair, Channing J. Paller, Wm. Kevin Kelly, Karen E. Knudsen, Matthew J. Schiewer, Ayesha A. Shafi   +13 more
wiley   +1 more source

Drug Target Interaction Prediction Using Machine Learning Techniques – A Review.

International Journal of Interactive Multimedia and Artificial Intelligence
Drug discovery is a key process, given the rising and ubiquitous demand for medication to stay in good shape right through the course of one’s life. Drugs are small molecules that inhibit or activate the function of a protein, offering patients a host ...
A. Suruliandi, T. Idhaya, S. P. Raja
doaj   +1 more source

Old drug repositioning and new drug discovery through similarity learning from drug-target joint feature spaces

BMC Bioinformatics, 2019
Background Detection of new drug-target interactions by computational algorithms is of crucial value to both old drug repositioning and new drug discovery.
Yi Zheng, Hui Peng, Xiaocai Zhang, Zhixun Zhao, Xiaoying Gao, Jinyan Li   +5 more
doaj   +1 more source

LDAcoop: Integrating non‐linear population dynamics into the analysis of clonogenic growth in vitro

Molecular Oncology, EarlyView.
Limiting dilution assays (LDAs) quantify clonogenic growth by seeding serial dilutions of cells and scoring wells for colony formation. The fraction of negative wells is plotted against cells seeded and analyzed using the non‐linear modeling of LDAcoop.
Nikko Brix, Daniel Samaga, Katharina Gehr, Benedek Dankó, Mohamed Schumann, Guido Drexler, Ahmed Alnatsha, Georg Beyer, Ujjwal Mahajan, Martin Selmansberger, Julia Mayerle, Claus Belka, Horst Zitzelsberger, Kirsten Lauber   +13 more
wiley   +1 more source