Results 101 to 110 of about 402,784 (308)

Quantitative structure-activity relationship study of some 7-substituted theophyllines

, 1998
Some novel 7-substituted theophylline derivatives have been investigated for quantitative structure-activity relationship (QSAR). For this purpose, their bronchodilatory activities (in vitro), which were examined by the inhibition of acetylcholine ...
Akgun, H, Balkan, A, Türker, Burhan Lemi   +2 more
core   +1 more source

Chemometric Methodologies in a Quantitative Structure-Activity Relationship Study: the Antibacterial Activity of 6-Aminoquinolones

, 1997
The paper illustrates the chemometric strategies appropriate for extracting information from a large amount of biological data regarding the antibiotic activity of 6-aminoquinolones.
FRAVOLINI, Arnaldo, BONELLI, Daniela, TABARRINI, Oriana, FILIPPONI, Enrica, M. Clementi, CECCHETTI, Violetta, CRUCIANI, Gabriele, CLEMENTI, Sergio   +7 more
core   +1 more source

Multidimensional Profiling of MRI‐Negative Temporal Lobe Epilepsy Uncovers Distinct Phenotypes

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Although hippocampal sclerosis (TLE‐HS) represents the most frequent cause of temporal lobe epilepsy (TLE), up to 30% of patients show no lesion on visual MRI inspection (TLE‐MRIneg). These cases pose diagnostic and therapeutic challenges and are underrepresented in surgical series.
Alice Ballerini, Alessia Casarini, Niccolò Biagioli, Laura Mirandola, Daniela Ballotta, Paul Summers, Simona Scolastico, Laura Madrassi, Maurilio Genovese, Marcella Malagoli, Gaetano Cantalupo, Giada Giovannini, Matteo Pugnaghi, Niccolò Orlandi, Laura Tassi, Valeria Cuccarini, Domenico Aquino, Elena Tartara, Fulvia Palesi, Giuseppe Didato, Paolo Vitali, the 3TLE Study Group, Roberta Di Giacomo, Fabio Doniselli, Federica Mazzi, Carlo Andrea Galimberti, Claudia A. M. Gandini Wheeler‐Kingshott, Stefano Meletti, Anna Elisabetta Vaudano   +28 more
wiley   +1 more source

Deep learning for chemoinformatics

大数据, 2017
Deep learning have been successfully used in computer vision，speech recognition and natural language processing，leading to the rapid development of artificial intelligence.The key technology of deep learning was also applied to chemoinformatics，speeding ...
Youjun XU, Jianfeng PEI
doaj  

Normal‐Appearing White Matter Injury Mediates Chronic Deep Venous Hypoxia and Disease Progression in Multiple Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To explore how cerebral hypoxia and Normal‐Appearing White Matter (NAWM) integrity affect MS lesion burden and clinical course. Methods Seventy‐nine MS patients, including 13 clinically isolated syndrome (CIS) patients and 66 relapsing–remitting multiple sclerosis (RRMS) patients, and 44 healthy controls (HCs) were recruited from ...
Xinli Wang, Huiying Wang, Zhizheng Zhuo, Ai Guo, Ke Lv, Decai Tian, Chao Chai, Yunyun Duan, Shuang Xia   +8 more
wiley   +1 more source

Modeling of the Acute Toxicity of Benzene Derivatives by Complementary QSAR Methods

, 2013
A data set containing acute toxicity values (96-h LC50) of 69 substituted benzenes for fathead minnow (Pimephales promelas) was investigated with two Quantitative Structure- Activity Relationship (QSAR) models, either using or not using molecular ...
Duce, Celia, Solaro, Roberto, Héberger, Károly, Bertinetto, Carlo   +3 more
core  

Quantitative Nanostructure−Activity Relationship Modeling

, 2010
Evaluation of biological effects, both desired and undesired, caused by Manufactured NanoParticles (MNPs) is of critical importance for nanotechnology.
Carlos Tassa, Dongqiuye Pu, Shaw, Stanley Y., Pu, Dongqiuye, Weissleder, Ralph, Tropsha, Alexander, Denis Fourches, Stanley Y. Shaw, Alexander Tropsha, Ralph Weissleder, Tassa, Carlos, Russell J. Mumper, Fourches, Denis, Mumper, Russell J.   +13 more
core   +1 more source

Effectiveness of rTMS on Working Memory and Inhibitory Impairments in Patients With Post‐Stroke Executive Deficits

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Considerable efforts have been dedicated to developing effective treatments for post‐stroke executive impairment (PSEI), among which repetitive transcranial magnetic stimulation (rTMS) has shown great potential. This study aimed to investigate the therapeutic effects of high‐frequency rTMS on working memory (WM) and response ...
Mengting Lao, Rongwei Du, Zhujun Wang, Yang Gao, Meiling Cheng, Xianglong Wang, Wen Wu   +6 more
wiley   +1 more source

Quantitative Nanostructure−Activity Relationship Modeling

, 2016
Evaluation of biological effects, both desired and undesired, caused by manufactured nanoparticles (MNPs) is of critical importance for nanotechnology.
Denis Fourches (395905), Stanley Y. Shaw (150648), Russell J. Mumper (516486), Carlos Tassa (2024263), Alexander Tropsha (1308912), Dongqiuye Pu (2257240), Ralph Weissleder (60)   +6 more
core   +1 more source

Additional file 3 of Quantitative Structure–Mutation–Activity Relationship Tests (QSMART) model for protein kinase inhibitor response prediction

, 2020
Liang‐Chin Huang, Wayland Yeung, Ye Wang, Huimin Cheng, Aarya Venkat, Sheng Li, Ping Ma, Khaled Rasheed, Natarajan Kannan   +8 more
openalex   +1 more source