We present a review of the field of high-throughput virtual screening for organic electronics materials focusing on the sequence of methodological choices that determine each virtual screening protocol. These choices are present in all high-throughput virtual screenings and addressing them systematically will lead to optimised workflows and improve their applicability. We consider the range of properties that can be computed and illustrate how their accuracy can be determined depending on the quality and size of the experimental datasets. The approaches to generate candidates for virtual screening are also extremely varied and their relative strengths and weaknesses are discussed. The analysis of high-throughput virtual screening is almost never limited to the identification of top candidates and often new patterns and structure-property relations are the most interesting findings of such searches. The review reveals a very dynamic field constantly adapting to match an evolving landscape of applications, methodologies and datasets.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8515942 | PMC |
http://dx.doi.org/10.1039/d1tc03256a | DOI Listing |
BMC Health Serv Res
January 2025
VA San Diego Healthcare System, 3350 La Jolla Village Dr., San Diego, CA, USA.
Background: 2022 survey data showed 29% of Veterans utilized Veterans Affairs (VA) paid health care at a non-VA facility, 6% higher than in 2021. Despite an increase in the number of Veterans accessing care in the community via the MISSION Act Community Care Program (CCP), there is limited information on the quality of mental health care delivered to Veterans in these settings. Further, Veterans report barriers to quality care, including poor communication between CCP and VA providers, which can result in negative patient outcomes.
View Article and Find Full Text PDFActa Pharmacol Sin
January 2025
State Key Laboratory of Medicinal Chemical Biology, College of Pharmacy and Tianjin Key Laboratory of Molecular Drug Research, Nankai University, Tianjin, 300350, China.
Histone lysine-specific demethylase 1 (LSD1) is overexpressed in various solid and hematological tumors, suggesting its potential as a therapeutic target, but there are currently no LSD1 inhibitors available on the market. In this study we employed a computer-guided approach to identify novel LSD1/EGFR dual inhibitors as a potential therapeutic agent for non-small cell lung cancer. Through a multi-stage virtual screening approach, we found L-1 and L-6, two compounds with unique scaffolds that effectively inhibit LSD1 with IC values of 6.
View Article and Find Full Text PDFNat Chem Biol
January 2025
Department of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, CA, USA.
Virtual ligand libraries for ligand discovery have recently increased 10,000-fold. Whether this has improved hit rates and potencies has not been directly tested. Meanwhile, typically only dozens of docking hits are assayed, clouding hit-rate interpretation.
View Article and Find Full Text PDFJMIR Res Protoc
December 2024
Department of Molecular Pathobiology and Cell Adhesion Biology, Mie University Graduate School of Medicine, Tsu, Japan.
Background: Pain inhibits rehabilitation. In rehabilitation at medical institutions, the usefulness of virtual reality (VR) has been reported in many cases to alleviate pain. In recent years, the demand for home rehabilitation has increased.
View Article and Find Full Text PDFBioorg Chem
December 2024
Good Clinical Practice Development, Guangdong Provincial Key Laboratory of Bone and Joint Degeneration Diseases, The Third Affiliated Hospital, Southern Medical University, Guangzhou, China. Electronic address:
Inhibition of human concentrative nucleoside transporter 2 (CNT2) could suppress increases in serum urate levels derived from dietary purines. However, the structural basis for substrate recognition of CNT2 is still unknown and only a few inhibitors have been reported. In this study, a homology model of CNT2 was constructed and residues T315, E316, N426, N491, E492, F536 and N538 were identified as binding sites for adenosine through site-directed mutagenesis and a H-adenosine uptake assay.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!