Past, present, and future perspectives on computer-aided drug design methodologies
The application of computational approaches in drug discovery has been consolidated in
the last decades. These families of techniques are usually grouped under the common …
the last decades. These families of techniques are usually grouped under the common …
Artificial intelligence revolutionizing drug development: Exploring opportunities and challenges
By harnessing artificial intelligence (AI) algorithms and machine learning techniques, the
entire drug discovery process stands to undergo a profound transformation, offering a …
entire drug discovery process stands to undergo a profound transformation, offering a …
Artificial intelligence enabled ChatGPT and large language models in drug target discovery, drug discovery, and development
C Chakraborty, M Bhattacharya, SS Lee - Molecular Therapy-Nucleic Acids, 2023 - cell.com
Drug discovery has been revolutionized recently by different computational approaches like
artificial intelligence (AI), deep learning (DL), and quantum mechanical methods. Drug …
artificial intelligence (AI), deep learning (DL), and quantum mechanical methods. Drug …
Recent developments in ultralarge and structure-based virtual screening approaches
C Gorgulla - Annual Review of Biomedical Data Science, 2023 - annualreviews.org
Drug development is a wide scientific field that faces many challenges these days. Among
them are extremely high development costs, long development times, and a small number of …
them are extremely high development costs, long development times, and a small number of …
[HTML][HTML] Quantum mechanical-based strategies in drug discovery: Finding the pace to new challenges in drug design
The expansion of the chemical space to tangible libraries containing billions of
synthesizable molecules opens exciting opportunities for drug discovery, but also …
synthesizable molecules opens exciting opportunities for drug discovery, but also …
Integrating artificial intelligence into the modernization of traditional Chinese medicine industry: a review
E Zhou, Q Shen, Y Hou - Frontiers in Pharmacology, 2024 - frontiersin.org
Traditional Chinese medicine (TCM) is the practical experience and summary of the
Chinese nation for thousands of years. It shows great potential in treating various chronic …
Chinese nation for thousands of years. It shows great potential in treating various chronic …
Machine Learning Advances in Predicting Peptide/Protein‐Protein Interactions Based on Sequence Information for Lead Peptides Discovery
J Ye, A Li, H Zheng, B Yang, Y Lu - Advanced Biology, 2023 - Wiley Online Library
Peptides have shown increasing advantages and significant clinical value in drug discovery
and development. With the development of high‐throughput technologies and artificial …
and development. With the development of high‐throughput technologies and artificial …
Recent Advances in Quantum Computing for Drug Discovery and Development
Preserving human health is of utmost importance, and unrestricted availability of
medications is essential for overall wellness. Pharmaceuticals, which consist of a wide …
medications is essential for overall wellness. Pharmaceuticals, which consist of a wide …
Protein engineering for natural product biosynthesis: expanding diversity for therapeutic applications
In this dispensation of the fourth industrial revolution, protein engineering has become a
popular approach for increasing enzymatic activity, stability, and titer in the biosynthesis of …
popular approach for increasing enzymatic activity, stability, and titer in the biosynthesis of …
Protein aggregation and therapeutic strategies in SOD1-and TDP-43-linked ALS
M Tsekrekou, M Giannakou… - Frontiers in Molecular …, 2024 - frontiersin.org
Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease with severe socio-
economic impact. A hallmark of ALS pathology is the presence of aberrant cytoplasmic …
economic impact. A hallmark of ALS pathology is the presence of aberrant cytoplasmic …