Keyphrases
Acid Type
11%
All Cancer
11%
Arsenic Trioxide
33%
Attention Mechanism
16%
Bile Acid Composition
11%
Bile Acid Signaling
11%
Bile Acids
66%
Binding Profile
11%
Biochemical Properties
11%
Biological Processes
11%
Biological Properties
11%
Biological Targets
16%
Biomarker 3
11%
Cancer Cells
16%
Cancer Development
11%
Cancer Progression
11%
Cancer Targeting
8%
Cancer Types
11%
Cellular Signaling
11%
Challenging Tasks
8%
Chemical Space
16%
Chemical Structure
11%
Chemopreventive
11%
Chemoprotective Effect
11%
Clinical Outcomes
8%
Clinical Setting
8%
Colon
11%
Colorectal Cancer
66%
Colorectal Cancer Cells
11%
Convolutional Neural Network
16%
Deep Learning Applications
16%
Deoxycholic Acid
11%
Detoxification
11%
Detoxification Pathways
11%
Dietary Components
11%
Dietary Habits
11%
Dive
16%
Drug Design
16%
Drug Resistance
8%
Faculty Development
5%
Focused Library
16%
G12C
8%
Gene Coding
8%
Generation Mode
16%
Grant Program
5%
Growth Factor Signaling
8%
High Dose
8%
Human Cancer
8%
Image Processing
16%
Immunogenic Potential
11%
In Silico
11%
K-ras
8%
KRAS Inhibitors
8%
KRAS mutation
8%
KRAS-mutant Cancer
33%
Lack of Data
11%
Language Model
33%
Life Sciences
16%
Low Toxicity
8%
Machine Learning
16%
Malignant Tumor
8%
Metabolic
8%
Metabolic Biomarkers
11%
Metabolomics Approach
11%
Molecular Generation
33%
Molecular Library
33%
MOSES
16%
Natural Enantiomer
8%
Natural Language Processing
33%
On Demand
16%
Oncology
8%
Oxidative Stress
8%
Pharmacokinetics
8%
Poor Outcome
8%
Pregnane
11%
Primary Cells
11%
Primary Colorectal Cancer
11%
Processing Language
16%
Protective Effect
11%
Recent Advances
16%
Repurposing
33%
Scientific Community
16%
Seed Structure
16%
Small Changes
11%
Small GTPase
8%
State-of-the-art Techniques
11%
Target-based Approach
8%
Toxic Chemicals
11%
Toxicity Potential
11%
Transformer
16%
Ursodeoxycholic Acid
11%
Vitamin C
33%
Vitamin D
27%
Vitamin D Pathway
11%
Vitamin D Receptor
27%
Web Database
16%
INIS
algorithms
11%
applications
11%
architecture
11%
arsenic
33%
benchmarks
11%
bile acids
66%
biological markers
6%
calcium
6%
cancer
100%
carcinogens
13%
chemistry
11%
colon
6%
communities
22%
coupling
5%
data
6%
demand
11%
design
11%
detoxification
13%
doses
5%
drugs
22%
gain
11%
genes
12%
glucose
5%
growth factors
5%
humans
12%
image processing
11%
in vitro
6%
investigations
6%
learning
11%
libraries
33%
ligands
11%
machine learning
11%
metrics
11%
molecules
22%
morbidity
6%
mortality
6%
mutants
33%
mutations
5%
natural language
22%
neural networks
11%
oxidation
33%
pregnanes
6%
processing
22%
proposals
6%
receptors
17%
risks
6%
sensitivity
5%
space
11%
suppression
33%
surges
11%
toxicity
18%
transformers
11%
tumors
5%
validation
11%
vitamin c
33%
vitamin d
31%
Pharmacology, Toxicology and Pharmaceutical Science
Arsenite
33%
Ascorbic Acid
33%
Bile Acid
66%
Biological Marker
9%
Colorectal Cancer
66%
Deoxycholic Acid
9%
Detoxication
19%
Lithocholic Acid
9%
Malignant Neoplasm
61%
Toxic Substance
9%
Ursodeoxycholic Acid
9%
Vitamin D
19%
Vitamin D Receptor
9%