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No. 발표자 제목 코드 종류
2475 Mina Rho
KCS1-5Symposium
Self-Supervised Learning of Chemical Diversity To Predict Bioactivities

Mina Rho

KCS1-5

심포지엄
2407 Seungjin Na
KCS1-4Symposium
Deep learning-based prediction of peptide properties for proteomics

Seungjin Na

KCS1-4

심포지엄
2171 Youhan Lee
KCS1-2Symposium
Large-scale Language Modeling to Understand Structures and Function of Protein

Youhan Lee

KCS1-2

심포지엄
2111 Yung-Kyun Noh
KCS1-3Symposium
Construction of estimators for f-divergences

Yung-Kyun Noh

KCS1-3

심포지엄

2106
Hahnbeom Park
KCS1-10Symposium
Evaluating GPCR modeling and docking strategies in the era of deep learning-based protein structure prediction

Hahnbeom Park

KCS1-10

심포지엄
2006 Minkyung Baek
KCS1-1Symposium
Recent advances in predicting and designing protein structures using AI

Minkyung Baek

KCS1-1

심포지엄
2004 Seungyoon Nam
KCS1-6Symposium
A comprehensive evaluation of regression-based drug responsiveness prediction models, using cell viability inhibitory concentrations (IC50 values)

Seungyoon Nam

KCS1-6

심포지엄
1998 Yoonjoo Choi
KCS1-7Symposium
Structure-based pMHC-I binding prediction for neoantigen discovery

Yoonjoo Choi

KCS1-7

심포지엄
1054 Juyong Lee
KCS1-9Symposium
Reconstruction of lossless molecular representations, SMILES and SELFIES, from fingerprints

Juyong Lee

KCS1-9

심포지엄
0995 Woong-Hee Shin
KCS1-8Symposium
Improving virtual screening for kinase using multi-state modeling with AlphaFold2

Woong-Hee Shin

KCS1-8

심포지엄
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