Optimization Using a Genetic Algorithm Based on DFIG Power Supply for the Electrical Grid

A Guediri, S Touil - International Journal of Engineering, 2022 - ije.ir
In this paper, we will be interested in studying a system consisting of a wind turbine
operating at variable wind speed, and a two-feed asynchronous machine (DFIG) connected …

[HTML][HTML] The Application of Artificial Intelligence in the Research and Development of Traditional Chinese Medicine

Z Ke, M Liu, J Liu, Z Su, L Li, M Qian, X Zhang… - International Journal of …, 2024 - sciltp.com
With the accumulation of data in the pharmaceutical industry and the development of
artificial intelligence technology, various artificial intelligence methods have been …

An AI-Driven Framework for Discovery of BACE1 Inhibitors for Alzheimer's Disease

E Xie, K Hasegawa, G Kementzidis, E Papadopoulos… - bioRxiv, 2024 - biorxiv.org
Alzheimer's Disease (AD) is a progressive neurodegenerative disorder that affects over 51
million individuals globally. The β-secretase (BACE1) enzyme is responsible for the …

Virtual screening techniques in pharmaceutical research

JC Williams, S Opare, SK Sugadoss, A Ganesan… - … Approaches for Green …, 2022 - Elsevier
The development of computational methods has enabled impressive advancements in the
drug discovery process. These methods allow us to perform eco-friendly and economical …

In Silico Insights Toward the Exploration of Adenosine Receptors Ligand Recognition

D Bassani, S Moro - Purinergic Receptors and their Modulators, 2023 - Springer
Adenosine receptors have been studied for many years now, their structures have been
resolved and many of the determinants for their interaction patterns have been highlighted …

Computational design of drugs for Epilepsy using a novel guided evolutionary algorithm for enhanced Blood Brain Barrier permeability

S Talluri - 2024 - chemrxiv.org
Epilepsy is a common disorder of the Central Nervous System. Although several drugs are
available for treatment of epilepsy, none of them are applicable for all cases, and some have …

Integrating Transformers and Many-Objective Optimization for Cancer Drug Design

N Aksamit, J Hou, Y Li, B Ombuki-Berman - 2024 - researchsquare.com
Background: Drug design is a challenging and important task that requires the generation of
novel and effective molecules that can bind to specific protein targets. Artificial intelligence …

Gcoupler: An AI-enhanced tool unveiled Endogenous Intracellular Allosteric Modulators of Evolutionary Conserved GPCR-Gα Interface

SK Mohanty, A Mittal, A Gaur, Namra, S Duari… - bioRxiv, 2023 - biorxiv.org
Traditionally, the exogenous allosteric modulators of G protein-coupled receptors (GPCRs)
have been extensively investigated due to their pharmacological significance. However, to …

Nanomaterials for Toxicity Constraints and Risk Assessment

AK Jain, D Chauhan, N Gupta, RP Singh… - … Opportunities and Future …, 2023 - Springer
Nanotechnology is one of the quickest developing fields dealing and controlling matter
within approximately 1–100 nm in size dimensions. These small and unique sizes of …

[图书][B] Nanotherapeutics for Inflammatory Arthritis: Design, Diagnosis, and Treatment

V Mishra, RP Pandey, A Priyadarshini, CM Chang… - 2024 - books.google.com
Nanotherapeutics for Inflammatory Arthritis: Design, Diagnosis, and Treatment highlights
nanobiotechnology and its therapeutic applications in the field of inflammatory arthritis, the …