Robert C Glen
Overview
Explore the profile of Robert C Glen including associated specialties, affiliations and a list of published articles.
Author names and details appear as published. Due to indexing inconsistencies, multiple individuals may share a name, and a single author may have variations. MedLuna displays this data as publicly available, without modification or verification
Snapshot
Snapshot
Articles
95
Citations
2468
Followers
0
Related Specialties
Related Specialties
Top 10 Co-Authors
Top 10 Co-Authors
Published In
Affiliations
Affiliations
Soon will be listed here.
Recent Articles
11.
Robinson M, Glen R, Lee A
J Comput Aided Mol Des
. 2020 Jan;
34(7):717-730.
PMID: 31960253
Machine learning methods may have the potential to significantly accelerate drug discovery. However, the increasing rate of new methodological approaches being published in the literature raises the fundamental question of...
12.
Tong Z, Guo J, Glen R, Morrell N, Li W
Sci Rep
. 2019 Sep;
9(1):13446.
PMID: 31530856
Bone morphogenetic proteins (BMPs) are multifunctional cytokines of the transforming growth factor β (TGFβ) superfamily with potential therapeutic applications due to their broad biological functionality. Designing BMP mimetics with specific...
13.
Read C, Nyimanu D, Williams T, Huggins D, Sulentic P, Macrae R, et al.
Pharmacol Rev
. 2019 Sep;
71(4):467-502.
PMID: 31492821
The predicted protein encoded by the APJ gene discovered in 1993 was originally classified as a class A G protein-coupled orphan receptor but was subsequently paired with a novel peptide...
14.
Dube N, Marzinek J, Glen R, Bond P
J Mol Model
. 2019 Aug;
25(9):277.
PMID: 31456056
Immunoreceptors are TM complexes that consist of separate ligand-binding and signal-transducing modules. Mounting evidence suggests that interactions with the local environment may influence the architecture of these TM domains, which...
15.
Sands C, Wolfer A, Correia G, Sadawi N, Ahmed A, Jimenez B, et al.
Bioinformatics
. 2019 Jul;
35(24):5359-5360.
PMID: 31350543
Summary: As large-scale metabolic phenotyping studies become increasingly common, the need for systemic methods for pre-processing and quality control (QC) of analytical data prior to statistical analysis has become increasingly...
16.
Inglese P, Correia G, Pruski P, Glen R, Takats Z
Anal Chem
. 2019 Apr;
91(10):6530-6540.
PMID: 31013058
Supervised modeling of mass spectrometry imaging (MSI) data is a crucial component for the detection of the distinct molecular characteristics of cancerous tissues. Currently, two types of supervised analyses are...
17.
Read C, Yang P, Kuc R, Nyimanu D, Williams T, Glen R, et al.
Basic Clin Pharmacol Toxicol
. 2019 Mar;
126 Suppl 6:96-103.
PMID: 30901161
The apelin receptor is a potential target in the treatment of heart failure and pulmonary arterial hypertension where levels of endogenous apelin peptides are reduced but significant receptor levels remain....
18.
Yang P, Read C, Kuc R, Nyimanu D, Williams T, Crosby A, et al.
Br J Pharmacol
. 2019 Feb;
176(9):1206-1221.
PMID: 30710493
Background And Purpose: Apelin is an endogenous vasodilatory and inotropic peptide that is down-regulated in human pulmonary arterial hypertension, although the density of the apelin receptor is not significantly attenuated....
19.
Kalash L, Cresser-Brown J, Habchi J, Morgan C, Miller D, Glen R, et al.
Eur J Med Chem
. 2018 Sep;
157:1264-1275.
PMID: 30195237
Dimeric calpains constitute a promising therapeutic target for many diseases such as cardiovascular, neurodegenerative and ischaemic disease. The discovery of selective calpain inhibitors, however, has been extremely challenging. Previously, allosteric...
20.
Allen C, Koutsoukas A, Cortes-Ciriano I, Murrell D, Malliavin T, Glen R, et al.
Toxicol Res (Camb)
. 2018 Aug;
5(3):883-894.
PMID: 30090397
Prediction of compound toxicity is essential because covering the vast chemical space requiring safety assessment using traditional experimentally-based, resource-intensive techniques is impossible. However, such prediction is nontrivial due to the...