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Transmol: Repurposing a language model for molecular generation
Rustam Zhumagambetov
,
Ferdinand Molnár
, Vsevolod A. Peshkov
,
Siamac Fazli
Department of Biology
Nazarbayev University
Department of Chemistry
Department of Computer Science
Nazarbayev University
Research output
:
Contribution to journal
›
Article
›
peer-review
13
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Citations (Scopus)
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Keyphrases
Natural Language Processing
100%
Language Model
100%
Repurposing
100%
Molecular Library
100%
Molecular Generation
100%
Recent Advances
50%
Scientific Community
50%
Machine Learning
50%
Transformer
50%
Vitamin D Receptor
50%
Life Sciences
50%
On Demand
50%
Convolutional Neural Network
50%
Drug Design
50%
Image Processing
50%
Deep Learning Applications
50%
Web Database
50%
Chemical Space
50%
Focused Library
50%
Dive
50%
Attention Mechanism
50%
Seed Structure
50%
Biological Targets
50%
Generation Mode
50%
Process Language
50%
Moses
50%
INIS
libraries
100%
molecules
66%
communities
66%
processing
66%
natural language
66%
design
33%
applications
33%
demand
33%
space
33%
drugs
33%
benchmarks
33%
chemistry
33%
image processing
33%
gain
33%
algorithms
33%
validation
33%
architecture
33%
machine learning
33%
neural networks
33%
learning
33%
receptors
33%
transformers
33%
ligands
33%
metrics
33%
vitamin d
33%
surges
33%
Computer Science
Natural Language Processing
100%
Language Modeling
100%
Image Processing
50%
Convolutional Neural Network
50%
Attention (Machine Learning)
50%
Machine Learning
50%
Learning System
50%
Deep Learning Method
50%
Chemical Space
50%