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AI-driven GPCR analysis, engineering, and targeting
This article investigates the role of recent advances in Artificial Intelligence (AI) to
revolutionise the study of G protein-coupled receptors (GPCRs). AI has been applied to …
revolutionise the study of G protein-coupled receptors (GPCRs). AI has been applied to …
piscesCSM: prediction of anticancer synergistic drug combinations
While drug combination therapies are of great importance, particularly in cancer treatment,
identifying novel synergistic drug combinations has been a challenging venture …
identifying novel synergistic drug combinations has been a challenging venture …
AI-driven enhancements in drug screening and optimization
The greatest challenge in drug discovery remains the high rate of attrition across the
different phases of the process, which cost the industry billions of dollars every year. While …
different phases of the process, which cost the industry billions of dollars every year. While …
Assessment of iridoids and their similar structures as antineoplastic drugs by in silico approach
Iridoids commonly found in plants as secondary metabolites have been reported to possess
significant biological activities such as anticancer, antioxidant, hypoglycemic, antimicrobial …
significant biological activities such as anticancer, antioxidant, hypoglycemic, antimicrobial …
TarIKGC: A Target Identification Tool Using Semantics-Enhanced Knowledge Graph Completion with Application to CDK2 Inhibitor Discovery
Target identification is a critical stage in the drug discovery pipeline. Various computational
methodologies have been dedicated to enhancing the classification performance of …
methodologies have been dedicated to enhancing the classification performance of …
KinScan: AI-based rapid profiling of activity across the kinome
Kinases play a vital role in regulating essential cellular processes, including cell cycle
progression, growth, apoptosis, and metabolism, by catalyzing the transfer of phosphate …
progression, growth, apoptosis, and metabolism, by catalyzing the transfer of phosphate …
DiPPI: A Curated Data Set for Drug-like Molecules in Protein–Protein Interfaces
Proteins interact through their interfaces, and dysfunction of protein–protein interactions
(PPIs) has been associated with various diseases. Therefore, investigating the properties of …
(PPIs) has been associated with various diseases. Therefore, investigating the properties of …
[PDF][PDF] AMachine LEARNING APPROACH FOR
IC KI - 2024 - estudogeral.uc.pt
The calculation of binding affinity is a crucial aspect in the development of new drugs,
however, it is a costly and time-consuming process. By creating a predictive model for the …
however, it is a costly and time-consuming process. By creating a predictive model for the …