Results 31 to 40 of about 5,773,364 (265)
A review of deep learning methods for ligand based drug virtual screening
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 +6 more
doaj +1 more source
The influence of the negative-positive ratio and screening database size on the performance of machine learning-based virtual screening. [PDF]
The machine learning-based virtual screening of molecular databases is a commonly used approach to identify hits. However, many aspects associated with training predictive models can influence the final performance and, consequently, the number of hits ...
Rafał Kurczab, Andrzej J Bojarski
doaj +1 more source
The emergence and rapid spread of SARS-CoV-2, the pathogen of COVID-19, have caused a worldwide public health crisis. The SARS-CoV-2 main protease (Mpro) is an essential enzyme for the virus and therefore an appealing target for the development of ...
Shuhua G. Li +9 more
doaj +1 more source
Many recently proposed structure-based virtual screening models appear to be able to accurately distinguish high affinity binders from non-binders. However, several recent studies have shown that they often do so by exploiting ligand-specific biases in ...
Thomas E. Hadfield +2 more
doaj +1 more source
Strategy for structure-based virtual screening.
Strategy for structure-based virtual screening.
Won Gi Yoo (7224095) +4 more
core +1 more source
Anticipated regret to increase uptake of colorectal cancer screening (ARTICS):a randomised controlled trial [PDF]
Screening is important for early detection of colorectal cancer. Our aim was to determine whether a simple anticipated regret (AR) intervention could increase uptake of colorectal cancer screening. A randomised controlled trial of a simple, questionnaire-
Brownlee, Linda A. +8 more
core +1 more source
This study integrates publicly available transcriptomic datasets to identify molecular signatures associated with response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer. By analyzing a combination of multiple cohorts with bioinformatics approaches, we reveal biological pathways and immune‐related features that may improve ...
Aleksandra Stanojevic +10 more
wiley +1 more source
Pathways and pitfalls: a qualitative study of student experiences in biomedical science education
Biomedical science students from underrepresented backgrounds face barriers including financial strain, disrupted laboratory access and cultural exclusion. Peer networks provide vital support when institutional systems are difficult to navigate. To create inclusive learning environments and achieve academic success, educators should blend active, hands‐
Olivia J. Russell +8 more
wiley +1 more source
Ligand-Based Virtual Screening Using Bayesian Inference Network and Reweighted Fragments
Many of the similarity-based virtual screening approaches assume that molecular fragments that are not related to the biological activity carry the same weight as the important ones.
Ali Ahmed, Ammar Abdo, Naomie Salim
doaj +1 more source
Research is strongest when conducted alongside patients, not just about them. Patient research organizations help integrate patient perspectives into research priorities, study design, and scientific meetings, leading to meaningful patient outcomes and development of relevant therapies.
Jenica H. Kakadia +9 more
wiley +1 more source

