Targeting ribosome biogenesis in cancer: lessons learned and way forward

A Zisi, J Bartek, MS Lindström - Cancers, 2022 - mdpi.com
Simple Summary Cells need to produce ribosomes to sustain continuous proliferation and
expand in numbers, a feature that is even more prominent in uncontrollably proliferating …

[HTML][HTML] Computer-aided drug design in anti-cancer drug discovery: What have we learnt and what is the way forward?

O Iwaloye, PO Ottu, F Olawale, OO Babalola… - Informatics in Medicine …, 2023 - Elsevier
The escalating prevalence of cancer on a global scale, coupled with the inadequacies of
present-day therapies and the emergence of drug-resistant cancer strains, has necessitated …

[HTML][HTML] A comprehensive evaluation of large language models on benchmark biomedical text processing tasks

I Jahan, MTR Laskar, C Peng, JX Huang - Computers in biology and …, 2024 - Elsevier
Abstract Recently, Large Language Models (LLMs) have demonstrated impressive
capability to solve a wide range of tasks. However, despite their success across various …

[图书][B] Thin films, atomic layer deposition, and 3D Printing: demystifying the concepts and their relevance in industry 4.0

K Ukoba, TC Jen - 2023 - books.google.com
Thin Films, Atomic Layer Deposition, and 3D Printing explains the concept of thin films,
atomic layers deposition, and the Fourth Industrial Revolution (4IR) with an aim to illustrate …

Integrated molecular modeling and machine learning for drug design

S Xia, E Chen, Y Zhang - Journal of chemical theory and …, 2023 - ACS Publications
Modern therapeutic development often involves several stages that are interconnected, and
multiple iterations are usually required to bring a new drug to the market. Computational …

Antiemetic effects of sclareol, possibly through 5-HT3 and D2 receptor interaction pathways: in-vivo and in-silico studies

MH Bappi, AAS Prottay, K Al-Khafaji, MS Akbor… - Food and Chemical …, 2023 - Elsevier
Background Emesis is a complex physiological phenomenon that serves as a defense
against numerous toxins, stressful situations, adverse medication responses, chemotherapy …

Digital twins for health: a scoping review

E Katsoulakis, Q Wang, H Wu, L Shahriyari… - NPJ Digital …, 2024 - nature.com
The use of digital twins (DTs) has proliferated across various fields and industries, with a
recent surge in the healthcare sector. The concept of digital twin for health (DT4H) holds …

[HTML][HTML] The role and potential of computer-aided drug discovery strategies in the discovery of novel antimicrobials

SO Oselusi, P Dube, AI Odugbemi, KA Akinyede… - Computers in biology …, 2024 - Elsevier
Antimicrobial resistance (AMR) has become more of a concern in recent decades,
particularly in infections associated with global public health threats. The development of …

GENERA: a combined genetic/deep-learning algorithm for multiobjective target-oriented de novo design

G Lamanna, P Delre, G Marcou… - Journal of Chemical …, 2023 - ACS Publications
This study introduces a new de novo design algorithm called GENERA that combines the
capabilities of a deep-learning algorithm for automated drug-like analogue design, called …

Single inhibitors versus dual inhibitors: role of HDAC in cancer

R Roy, T Ria, D RoyMahaPatra, UH Sk - ACS omega, 2023 - ACS Publications
Due to the multimodal character of cancer, inhibition of two targets simultaneously by a
single molecule is a beneficial and effective approach against cancer. Histone deacetylase …