[HTML][HTML] Artificial intelligence to deep learning: machine intelligence approach for drug discovery
Drug designing and development is an important area of research for pharmaceutical
companies and chemical scientists. However, low efficacy, off-target delivery, time …
companies and chemical scientists. However, low efficacy, off-target delivery, time …
[HTML][HTML] Network pharmacology approach for medicinal plants: review and assessment
Natural products have played a critical role in medicine due to their ability to bind and
modulate cellular targets involved in disease. Medicinal plants hold a variety of bioactive …
modulate cellular targets involved in disease. Medicinal plants hold a variety of bioactive …
[HTML][HTML] PROTACs: great opportunities for academia and industry (an update from 2020 to 2021)
M He, C Cao, Z Ni, Y Liu, P Song, S Hao, Y He… - … and Targeted Therapy, 2022 - nature.com
Abstract PROteolysis TArgeting Chimeras (PROTACs) technology is a new protein-
degradation strategy that has emerged in recent years. It uses bifunctional small molecules …
degradation strategy that has emerged in recent years. It uses bifunctional small molecules …
[HTML][HTML] G protein-coupled receptors: structure-and function-based drug discovery
D Yang, Q Zhou, V Labroska, S Qin… - Signal transduction and …, 2021 - nature.com
As one of the most successful therapeutic target families, G protein-coupled receptors
(GPCRs) have experienced a transformation from random ligand screening to knowledge …
(GPCRs) have experienced a transformation from random ligand screening to knowledge …
Concepts of artificial intelligence for computer-assisted drug discovery
X Yang, Y Wang, R Byrne, G Schneider… - Chemical …, 2019 - ACS Publications
Artificial intelligence (AI), and, in particular, deep learning as a subcategory of AI, provides
opportunities for the discovery and development of innovative drugs. Various machine …
opportunities for the discovery and development of innovative drugs. Various machine …
[HTML][HTML] Molecular docking: shifting paradigms in drug discovery
L Pinzi, G Rastelli - International journal of molecular sciences, 2019 - mdpi.com
Molecular docking is an established in silico structure-based method widely used in drug
discovery. Docking enables the identification of novel compounds of therapeutic interest …
discovery. Docking enables the identification of novel compounds of therapeutic interest …
[HTML][HTML] Plant-derived natural products for drug discovery: current approaches and prospects
N Nasim, IS Sandeep, S Mohanty - The Nucleus, 2022 - Springer
Nature has abundant source of drugs that need to be identified/purified for use as essential
biologics, either individually or in combination in the modern medical field. These drugs are …
biologics, either individually or in combination in the modern medical field. These drugs are …
[HTML][HTML] Emerging strategies to overcome resistance to third-generation EGFR inhibitors
K Shi, G Wang, J Pei, J Zhang, J Wang… - Journal of Hematology & …, 2022 - Springer
Epidermal growth factor receptor (EGFR), the receptor for members of the epidermal growth
factor family, regulates cell proliferation and signal transduction; moreover, EGFR is related …
factor family, regulates cell proliferation and signal transduction; moreover, EGFR is related …
Trends in GPCR drug discovery: new agents, targets and indications
G protein-coupled receptors (GPCRs) are the most intensively studied drug targets, mostly
due to their substantial involvement in human pathophysiology and their pharmacological …
due to their substantial involvement in human pathophysiology and their pharmacological …
DeepTraSynergy: drug combinations using multimodal deep learning with transformers
Motivation Screening bioactive compounds in cancer cell lines receive more attention.
Multidisciplinary drugs or drug combinations have a more effective role in treatments and …
Multidisciplinary drugs or drug combinations have a more effective role in treatments and …