Results 111 to 120 of about 888,632 (296)

Mixed‐class J‐domain protein scaffolds promote expanded aggregate handling and multivalent Hsp70 engagement during functional disaggregase assembly

FEBS Letters, EarlyView.
Protein aggregates threaten proteostasis and cell health. In human cells, Hsp70–J‐domain protein‐based disaggregases remove aggregates, but how they assemble remains unclear. Our biochemical findings show that DNAJA2‐ and DNAJB1‐containing disaggregase scaffolds enhance luciferase aggregate targeting, and that Hsp70 recruitment by both J‐domain ...
Anna Szlachcic, Nadinath B. Nillegoda
wiley   +1 more source

Determinants of drug-target interactions at the single cell level

PLOS Computational Biology, 2018
The physiochemical determinants of drug-target interactions in the microenvironment of the cell are complex and generally not defined by simple diffusion and intrinsic chemical reactivity. Non-specific interactions of drugs and macromolecules in cells are rarely considered formally in assessing pharmacodynamics.
Vlad Elgart, Jia-Ren Lin, Joseph Loscalzo   +2 more
openaire   +3 more sources

The role of miR‐335‐5p in the redifferentiation of BRAF p.V600E thyroid cancers

Molecular Oncology, EarlyView.
The BRAF p.V600E mutation promotes thyroid cancer dedifferentiation and radioiodine resistance. Using a network approach, we identified miR‐335‐5p as a key regulator of BRAF‐mutated thyroid tumors. Restoring miR‐335‐5p increased thyroid‐specific gene expression and iodine uptake in cells and organoids.
Valeria Pecce, Simone Bini, Marialuisa Sponziello, Giorgio Grani, Giulia Fiscon, Paola Paci, Lorenzo Farina, Rosa Falcone, Valentina Maggisano, Sebastiano Filetti, Cosimo Durante, Antonella Verrienti   +11 more
wiley   +1 more source

Biases of drug-target interaction network data

, 2020
. Network based prediction of interaction between drug compounds and target proteins is a core step in the drug discovery process. The availability of drug-target interaction data has boosted the development of machine learning methods for the in silico ...
Twan Van Laarhoven, Elena Marchiori
core  

TRAIL‐PEG‐Apt‐PLGA nanosystem as an aptamer‐targeted drug delivery system potential for triple‐negative breast cancer therapy using in vivo mouse model

Molecular Oncology, EarlyView.
Aptamers are used both therapeutically and as targeting agents in cancer treatment. We developed an aptamer‐targeted PLGA–TRAIL nanosystem that exhibited superior therapeutic efficacy in NOD/SCID breast cancer models. This nanosystem represents a novel biotechnological drug candidate for suppressing resistance development in breast cancer.
Gulen Melike Demirbolat, Aslihan Kucuk, Omer Erdogan, Samed Ozer, Bensu Kozan, Tugba Cuceli, Erkan Gumus, Evrim Cevik, Ozge Cevik   +8 more
wiley   +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

Evaluation Of Clinically Important Drug Interactions Involving Angiotensin-Converting Enzyme Inhibitors Among Cardiac Patients [QP609.A53 F219 2008 f rb]. [PDF]

, 2008
Perencat penukar enzim angiotensin (ACEIs) telah digunakan secara meluas untuk merawat hipertensi dan penyakit kardiovaskular yang lain. Interaksi ubat-ACEI adalah merupakan masalah kesihatan yang signifikan dan perlu penyelidikan lanjut.
Amir Abdelkarim Farag, Omalhassan
core  

Tumour–host interactions in Drosophila: mechanisms in the tumour micro‐ and macroenvironment

Molecular Oncology, EarlyView.
This review examines how tumour–host crosstalk takes place at multiple levels of biological organisation, from local cell competition and immune crosstalk to organism‐wide metabolic and physiological collapse. Here, we integrate findings from Drosophila melanogaster studies that reveal conserved mechanisms through which tumours hijack host systems to ...
José Teles‐Reis, Tor Erik Rusten
wiley   +1 more source

GCARDTI: Drug–target interaction prediction based on a hybrid mechanism in drug SELFIES

Quantitative Biology
The prediction of the interaction between a drug and a target is the most critical issue in the fields of drug development and repurposing. However, there are still two challenges in current deep learning research: (i) the structural information of drug ...
Yinfei Feng, Yuanyuan Zhang, Zengqian Deng, Mimi Xiong   +3 more
doaj   +1 more source

A Multi-Label Learning Framework for Drug Repurposing

Pharmaceutics, 2019
Drug repurposing plays an important role in screening old drugs for new therapeutic efficacy. The existing methods commonly treat prediction of drug-target interaction as a problem of binary classification, in which a large number of randomly sampled ...
Suyu Mei, Kun Zhang
doaj   +1 more source