Results 111 to 120 of about 2,729,950 (336)

The efficiency of multi-target drugs: the network approach might help drug design

, 2005
Despite considerable progress in genome- and proteome-based high-throughput screening methods and rational drug design, the number of successful single target drugs did not increase appreciably during the past decade.
Agoston, Vilmos, Csermely, Peter, Pongor, Sandor   +2 more
core   +1 more source

Kajian Potensi Interaksi Obat Antihipertensi Pada Pasien Hipertensi Primer Di Instalasi Rawat Jalan RSUD Luwuk Periode Januari – Maret 2016 [PDF]

, 2017
KAJIAN POTENSI INTERAKSI OBAT ANTIHIPERTENSI PADA PASIEN HIPERTENSI PRIMER DI INSTALASI RAWAT JALAN RSUD LUWUK PERIODE JANUARI – MARET 2016 Yesia Stevani Mahamudu1), Gayatri Citraningtyas1), Henki Rotinsulu1)1)Program studi farmasi FMIPA UNSRAT Manado ...
Mahamudu, Y. S. (Yesia)
core   +2 more sources

Predicting drug-target interactions using restricted Boltzmann machines [PDF]

Bioinformatics, 2013
Abstract Motivation:  In silico prediction of drug-target interactions plays an important role toward identifying and developing new uses of existing or abandoned drugs. Network-based approaches have recently become a popular tool for discovering new drug-target interactions (DTIs).
Wang, Yuhao, Zeng, Jianyang
openaire   +2 more sources

Structural biology of ferritin nanocages

FEBS Letters, EarlyView.
Ferritin is a conserved iron‐storage protein that sequesters iron as a ferric mineral core within a nanocage, protecting cells from oxidative damage and maintaining iron homeostasis. This review discusses ferritin biology, structure, and function, and highlights recent cryo‐EM studies revealing mechanisms of ferritinophagy, cellular iron uptake, and ...
Eloise Mastrangelo, Flavio Di Pisa
wiley   +1 more source

Meta-Path-Based Probabilistic Soft Logic for Drug–Target Interaction Predictions

Mathematics
Drug–target interaction (DTI) predictions, which aim to predict whether a drug will be bounded to a target, have received wide attention recently. The goal is to automate and accelerate the costly process of drug design.
Shengming Zhang, Yizhou Sun
doaj   +1 more source

Selective glucocorticoid receptor properties of GSK866 analogs with cysteine reactive warheads [PDF]

, 2017
Synthetic glucocorticoids (GC) are the mainstay therapy for treatment of acute and chronic inflammatory disorders. Due to the high adverse effects associated with long-term use, GC pharmacology has focused since the nineties on more selective GC ligand ...
Atucha, Avenant, Baiula, Barnes, Bauer, Baumer, Beck, Berk, Biggadike, Bledsoe, Bonvini, Carson, Cheatham, Chen, Corne, De Bosscher, De Bosscher, De Bosscher, De Vos, Desmet, Desmet, Engel, Garuti, Helsens, Lieber, Liu, Madauss, Mcmaster, Meijsing, Newton, Newton, Perkins, Proksch, Ratman, Rehman, Reichardt, Rhen, Roskoski, Ryabtsova, Schacke, Schacke, Schacke, Schacke, Schindelin, Schuttelkopf, Shafiee, Simons, Simons, Simons, Singh, Sundahl, Touw, Trott, Vanden Berghe, Vanden Berghe, Vandevyver, Vane, Vanhaesebroeck, Verschuuren, Vettorazzi, Wang, Werkstrom   +61 more
core   +2 more sources

Causal enhanced drug–target interaction prediction based on graph generation and multi-source information fusion

Bioinform.
Motivation The prediction of drug–target interaction is a vital task in the biomedical field, aiding in the discovery of potential molecular targets of drugs and the development of targeted therapy methods with higher efficacy and fewer side effects ...
Guanyu Qiao, Guohua Wang, Yang Li
semanticscholar   +1 more source

Transferrin receptor 1‐mediated iron uptake supports thermogenic activation in human cervical‐derived adipocytes

FEBS Letters, EarlyView.
In this study, we found that human cervical‐derived adipocytes maintain intracellular iron level by regulating the expression of iron transport‐related proteins during adrenergic stimulation. Melanotransferrin is predicted to interact with transferrin receptor 1 based on in silico analysis.
Rahaf Alrifai, Mizuki Seo, Gyath Karadsheh, Fachrur Rizal Mahendra, Máté Á Demény, Ferenc Győry, János András Mótyán, László Fésüs, Endre Kristóf, Rini Arianti   +9 more
wiley   +1 more source

A review of deep learning methods for ligand based drug virtual screening

Fundamental Research
Drug discovery is costly and time consuming, and modern drug discovery endeavors are progressively reliant on computational methodologies, aiming to mitigate temporal and financial expenditures associated with the process.
Hongjie Wu, Junkai Liu, Runhua Zhang, Yaoyao Lu, Guozeng Cui, Zhiming Cui, Yijie Ding   +6 more
doaj   +1 more source

A simple contact mapping algorithm for identifying potential peptide mimetics in protein–protein interaction partners [PDF]

, 2014
A simple, static contact mapping algorithm has been developed as a first step at identifying potential peptide biomimetics from protein interaction partner structure files.
Brunn, Jonathan, Kankanala, Spandana, Krall, Alex, Peters, Michael H.   +3 more
core   +3 more sources