A review of enzyme design in catalytic stability by artificial intelligence
The design of enzyme catalytic stability is of great significance in medicine and industry.
However, traditional methods are time-consuming and costly. Hence, a growing number of …
However, traditional methods are time-consuming and costly. Hence, a growing number of …
Artificial intelligence-driven prediction of multiple drug interactions
S Chen, T Li, L Yang, F Zhai, X Jiang… - Briefings in …, 2022 - academic.oup.com
When a drug is administered to exert its efficacy, it will encounter multiple barriers and go
through multiple interactions. Predicting the drug-related multiple interactions is critical for …
through multiple interactions. Predicting the drug-related multiple interactions is critical for …
Identification of novel off targets of baricitinib and tofacitinib by machine learning with a focus on thrombosis and viral infection
As there are no clear on-target mechanisms that explain the increased risk for thrombosis
and viral infection or reactivation associated with JAK inhibitors, the observed elevated risk …
and viral infection or reactivation associated with JAK inhibitors, the observed elevated risk …
Adaptive boost approach for possible leads of triple-negative breast cancer
Recent research has shown that cyclin dependent kinase 7 (CDK7), cyclin dependent
kinase 9 (CDK9) and cyclin T1 (CCNT1) can assist transcriptional misregulation in cancer …
kinase 9 (CDK9) and cyclin T1 (CCNT1) can assist transcriptional misregulation in cancer …
The method predicting interaction between protein targets and small-molecular ligands with the wide applicability domain
DA Karasev, BN Sobolev, AA Lagunin… - … biology and chemistry, 2022 - Elsevier
Prediction of protein-ligand interaction is necessary for drug design, gene regulatory
networks investigation, and chemical probes detection. The existing methods commonly …
networks investigation, and chemical probes detection. The existing methods commonly …
Can artificial intelligence accelerate preclinical drug discovery and precision medicine?
An average cost of $314 million to $2.8 billion is associated with the development of a new
drug with a minimum development period of ten years [1]. The traditional drug discovery …
drug with a minimum development period of ten years [1]. The traditional drug discovery …
Advancing Drug Utilisation and Drug Safety Research Through Interdisciplinary Methods
ML Faquetti - 2023 - research-collection.ethz.ch
Randomized clinical trials (RCTs) are fundamental for evaluating the safety and efficacy
during the development of new drugs. However, RCTs are often limited in their …
during the development of new drugs. However, RCTs are often limited in their …