Artificial intelligence and machine learning‐aided drug discovery in central nervous system diseases: State‐of‐the‐arts and future directions

S Vatansever, A Schlessinger, D Wacker… - Medicinal research …, 2021 - Wiley Online Library
Neurological disorders significantly outnumber diseases in other therapeutic areas.
However, developing drugs for central nervous system (CNS) disorders remains the most …

Metformin and the gastrointestinal tract

LJ McCreight, CJ Bailey, ER Pearson - Diabetologia, 2016 - Springer
Metformin is an effective agent with a good safety profile that is widely used as a first-line
treatment for type 2 diabetes, yet its mechanisms of action and variability in terms of efficacy …

Metformin-induced changes of the gut microbiota in healthy young men: results of a non-blinded, one-armed intervention study

T Bryrup, CW Thomsen, T Kern, KH Allin, I Brandslund… - Diabetologia, 2019 - Springer
Aims/hypothesis Individuals with type 2 diabetes have an altered bacterial composition of
their gut microbiota compared with non-diabetic individuals. However, these alterations may …

A simple representation of three-dimensional molecular structure

SD Axen, XP Huang, EL Cáceres… - Journal of medicinal …, 2017 - ACS Publications
Statistical and machine learning approaches predict drug-to-target relationships from 2D
small-molecule topology patterns. One might expect 3D information to improve these …

Alterations of the predominant fecal microbiota and disruption of the gut mucosal barrier in patients with early‐stage colorectal cancer

X Liu, Y Cheng, L Shao, Z Ling - BioMed research international, 2020 - Wiley Online Library
Growing evidence indicated that the gut microbiota was the intrinsic and essential
component of the cancer microenvironment, which played vital roles in the development and …

Effects of medications on heat loss capacity in chronic disease patients: health implications amidst global warming

J Wee, XR Tan, SH Gunther, M Ihsan, MKS Leow… - Pharmacological …, 2023 - ASPET
Pharmacological agents used to treat or manage diseases can modify the level of heat strain
experienced by chronically ill and elderly patients via different mechanistic pathways …

Validation strategies for target prediction methods

N Mathai, Y Chen, J Kirchmair - Briefings in bioinformatics, 2020 - academic.oup.com
Computational methods for target prediction, based on molecular similarity and network-
based approaches, machine learning, docking and others, have evolved as valuable and …

Organic cation transporters in the lung—current and emerging (patho) physiological and pharmacological concepts

MA Selo, JA Sake, C Ehrhardt, JJ Salomon - International Journal of …, 2020 - mdpi.com
Organic cation transporters (OCT) 1, 2 and 3 and novel organic cation transporters (OCTN) 1
and 2 of the solute carrier 22 (SLC22) family are involved in the cellular transport of …

[HTML][HTML] Metformin-induced anticancer activities: recent insights

S Safe, V Nair, K Karki - Biological chemistry, 2018 - degruyter.com
Metformin is a widely used antidiabetic drug, and there is evidence among diabetic patients
that metformin is a chemopreventive agent against multiple cancers. There is also evidence …

Gastrointestinal adverse events of metformin treatment in patients with type 2 diabetes mellitus: A systematic review, meta-analysis and meta-regression of …

K Nabrdalik, K Skonieczna-Żydecka, K Irlik… - Frontiers in …, 2022 - frontiersin.org
Introduction Metformin is the first choice drug in the treatment of type 2 diabetes mellitus but
its administration may be linked to gastrointestinal adverse events limiting its use. Objectives …