Juyong Lee

Assistant Professor

Seoul National University

South Korea

Research Interests

Explore related searches

Professors in South Korea Professors in Chemistry Chemistry professors in South Korea

Contact this professor

ORCID

Google Scholar

About

Juyong Lee is an Assistant Professor at Seoul National University, South Korea. His research primarily focuses on the fields of chemical synthesis, molecular biology, and cheminformatics, as evidenced by his recent articles on automated sampling of chemical reaction spaces and the exploration of cancer treatment inhibitors. He is also involved in studies related to transcription factors and their interactions, as well as improvements in chemical language models.

Juyong Lee

Research Interests

Explore related searches

Contact this professor

About

Articles (20)

Automated and Efficient Sampling of Chemical Reaction Space

Molecular basis of facilitated target search and sequence discrimination of TALE homeodomain transcription factor Meis1

Discovery of thiophen-2-ylmethylene bis-dimedone derivatives as novel WRN inhibitors for treating cancers with microsatellite instability

Characterization of the role of Kunitz‐type protease inhibitor domain in dimerization of amyloid precursor protein

Aβ dissociation by pectolinarin may counteract against Aβ-induced synaptic dysfunction and memory impairment

Correction: Improving the quality of chemical language model outcomes with atom-in-SMILES tokenization (Journal of Cheminformatics, (2023), 15, 1, (55), 10.1186/s13321-023-00725-9)

Correction: Reconstruction of lossless molecular representations from fingerprints (Journal of Cheminformatics, (2023), 15, 1, (26), 10.1186/s13321-023-00693-0)

Efficient discovery of multiple minimum action pathways using Gaussian process

Improving the quality of chemical language model outcomes with atom-in-SMILES tokenization

Ligand-based pharmacophore modelling in search of novel anaplastic lymphoma kinase inhibitors

N4-phenylquinazoline-4,6-diamine as a tunable fluorescent scaffold for the development of fluorescent probes

Cytosolic microRNA-inducible nuclear translocation of Cas9 protein for disease-specific genome modification

A-Prot: protein structure modeling using MSA transformer

CRFalign: A Sequence-Structure Alignment of Proteins Based on a Combination of HMM-HMM Comparison and Conditional Random Fields

Protein pKa Prediction by Tree-Based Machine Learning

Retrosynthetic reaction pathway prediction through neural machine translation of atomic environments

A benchmark study of machine learning methods for molecular electronic transition: Tree‐based ensemble learning versus graph neural network

The discovery of penta-peptides inhibiting the activity of the formylglycine-generating enzyme and their potential antibacterial effects against <i>Mycobacterium tuberculosis</i>

Identifying the Hot Spot Residues of the SARS-CoV-2 Main Protease Using MM-PBSA and Multiple Force Fields

MolFinder: an evolutionary algorithm for the global optimization of molecular properties and the extensive exploration of chemical space using SMILES

Collaborators (7)

Cheol-Hee Shin

Eunji Sim

Seung Ja Oh

Seungheon Lee

Kyoung-Seok Ryu

sangheon kim

Ji Min Lee

How do I reach out?

Meet Kite AI