Yoochan Myung
Yoochan Myung
Verified email at student.unimelb.edu.au
Cited by
Cited by
mCSM-PPI2: predicting the effects of mutations on protein–protein interactions
CHM Rodrigues, Y Myung, DEV Pires, DB Ascher
Nucleic acids research 47 (W1), W338-W344, 2019
Force field parameters for 3-nitrotyrosine and 6-nitrotryptophan
Y Myung, SH Han
Bull. Korean Chem. Soc 31 (9), 2581-2587, 2010
mCSM-AB2: guiding rational antibody design using graph-based signatures
Y Myung, CHM Rodrigues, DB Ascher, DEV Pires
Bioinformatics 36 (5), 1453-1459, 2020
Exploring the structural distribution of genetic variation in SARS-CoV-2 with the COVID-3D online resource
S Portelli, M Olshansky, CHM Rodrigues, EN D’Souza, Y Myung, M Silk, ...
Nature Genetics 52 (10), 999-1001, 2020
A niosomal bilayer of sorbitan monostearate in complex with flavones: a molecular dynamics simulation study
Y Myung, S Yeom, S Han
Journal of liposome research 26 (4), 336-344, 2016
Development of Natural Compound Molecular Fingerprint (NC-MFP) with the Dictionary of Natural Products (DNP) for natural product-based drug development
M Seo, HK Shin, Y Myung, S Hwang, KT No
Journal of Cheminformatics 12 (1), 6, 2020
Mercury methylation by metabolically versatile and cosmopolitan marine bacteria
H Lin, DB Ascher, Y Myung, CH Lamborg, SJ Hallam, CM Gionfriddo, ...
bioRxiv, 2020
mmCSM-AB: guiding rational antibody engineering through multiple point mutations
Y Myung, DEV Pires, DB Ascher
Nucleic Acids Research, 2020
COVID-3D: An online resource to explore the structural distribution of genetic variation in SARS-CoV-2 and its implication on therapeutic development
S Portelli, M Olshansky, CHM Rodrigues, EN D'Souza, YC Myung, M Silk, ...
bioRxiv, 2020
EasyVS: a user friendly web based tool for molecule library selection and structure-based virtual screening
DEV Pires, WNP Veloso, YC Myung, CHM Rodrigues, M Silk, ...
Bioinformatics, 2020
Exploring Protein Supersecondary Structure Through Changes in Protein Folding, Stability, and Flexibility
DEV Pires, CHM Rodrigues, ATS Albanaz, M Karmakar, Y Myung, ...
Protein Supersecondary Structures, 173-185, 2019
Prediction of rifampicin resistance beyond the RRDR using structure-based machine learning approaches
S Portelli, Y Myung, N Furnham, SC Vedithi, DEV Pires, DB Ascher
Scientific reports 10 (1), 1-13, 2020
Identifying Genotype–Phenotype Correlations via Integrative Mutation Analysis
E Airey, S Portelli, JS Xavier, YC Myung, M Silk, M Karmakar, JPL Velloso, ...
Artificial Neural Networks, 1-32, 0
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Articles 1–13