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Dr

Yoochan Myung

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Works

Search Professor Yoochan Myung’s works on UQ eSpace

25 works between 2019 and 2024

1 - 20 of 25 works

2024

Journal Article

piscesCSM: prediction of anticancer synergistic drug combinations

AlJarf, Raghad, Rodrigues, Carlos H. M., Myung, Yoochan, Pires, Douglas E. V. and Ascher, David B. (2024). piscesCSM: prediction of anticancer synergistic drug combinations. Journal of Cheminformatics, 16 (1) 81. doi: 10.1186/s13321-024-00859-4

piscesCSM: prediction of anticancer synergistic drug combinations

2024

Journal Article

<scp>AlzDiscovery</scp>: A computational tool to identify Alzheimer's disease‐causing missense mutations using protein structure information

Pan, Qisheng, Parra, Georgina Becerra, Myung, Yoochan, Portelli, Stephanie, Nguyen, Thanh Binh and Ascher, David B. (2024). AlzDiscovery: A computational tool to identify Alzheimer's disease‐causing missense mutations using protein structure information. Protein Science, 33 (10) ARTN e5147, e5147. doi: 10.1002/pro.5147

<scp>AlzDiscovery</scp>: A computational tool to identify Alzheimer's disease‐causing missense mutations using protein structure information

2024

Journal Article

<scp>EFG</scp>‐<scp>CS</scp>: Predicting chemical shifts from amino acid sequences with protein structure prediction using machine learning and deep learning models

Gu, Xiaotong, Myung, Yoochan, Rodrigues, Carlos H. M. and Ascher, David B. (2024). EFG‐CS: Predicting chemical shifts from amino acid sequences with protein structure prediction using machine learning and deep learning models. Protein Science, 33 (8) e5096, e5096. doi: 10.1002/pro.5096

<scp>EFG</scp>‐<scp>CS</scp>: Predicting chemical shifts from amino acid sequences with protein structure prediction using machine learning and deep learning models

2024

Journal Article

DDMut-PPI: predicting effects of mutations on protein–protein interactions using graph-based deep learning

Zhou, Yunzhuo, Myung, YooChan, Rodrigues, Carlos H M and Ascher, David B (2024). DDMut-PPI: predicting effects of mutations on protein–protein interactions using graph-based deep learning. Nucleic Acids Research, 52 (W1), W207-W214. doi: 10.1093/nar/gkae412

DDMut-PPI: predicting effects of mutations on protein–protein interactions using graph-based deep learning

2024

Journal Article

Mutations in Glycosyltransferases and Glycosidases: Implications for Associated Diseases

Gu, Xiaotong, Kovacs, Aaron S., Myung, Yoochan and Ascher, David B. (2024). Mutations in Glycosyltransferases and Glycosidases: Implications for Associated Diseases. Biomolecules, 14 (4) 497, 497. doi: 10.3390/biom14040497

Mutations in Glycosyltransferases and Glycosidases: Implications for Associated Diseases

2024

Journal Article

Deep-PK: deep learning for small molecule pharmacokinetic and toxicity prediction

Myung, Yoochan, de Sá, Alex G C and Ascher, David B (2024). Deep-PK: deep learning for small molecule pharmacokinetic and toxicity prediction. Nucleic Acids Research, 52 (W1), W469-W475. doi: 10.1093/nar/gkae254

Deep-PK: deep learning for small molecule pharmacokinetic and toxicity prediction

2023

Journal Article

Uncovering the molecular drivers of NHEJ DNA repair-implicated missense variants and their functional consequences

Al-Jarf, Raghad, Karmakar, Malancha, Myung, Yoochan and Ascher, David B. (2023). Uncovering the molecular drivers of NHEJ DNA repair-implicated missense variants and their functional consequences. Genes, 14 (10) 1890, 1-11. doi: 10.3390/genes14101890

Uncovering the molecular drivers of NHEJ DNA repair-implicated missense variants and their functional consequences

2023

Journal Article

Understanding the complementarity and plasticity of antibody–antigen interfaces

Myung, Yoochan, Pires, Douglas E. V. and Ascher, David B (2023). Understanding the complementarity and plasticity of antibody–antigen interfaces. Bioinformatics, 39 (7) btad392, 1-7. doi: 10.1093/bioinformatics/btad392

Understanding the complementarity and plasticity of antibody–antigen interfaces

2022

Book Chapter

Using graph-based signatures to guide rational antibody engineering

Ascher, David B., Kaminskas, Lisa M., Myung, Yoochan and Pires, Douglas E. V. (2022). Using graph-based signatures to guide rational antibody engineering. Computer-aided antibody design. (pp. 375-397) New York, NY, United States: Humana Press. doi: 10.1007/978-1-0716-2609-2_21

Using graph-based signatures to guide rational antibody engineering

2022

Journal Article

VIVID: a web application for variant interpretation and visualisation in multidimensional analyses

Tichkule, Swapnil, Myung, Yoochan, Naung, Myo T., Ansell, Brendan R. E., Guy, Andrew J., Srivastava, Namrata, Mehra, Somya, Cacciò, Simone M, Mueller, Ivo, Barry, Alyssa E, van Oosterhout, Cock, Pope, Bernard, Ascher, David B and Jex, Aaron R (2022). VIVID: a web application for variant interpretation and visualisation in multidimensional analyses. Molecular Biology and Evolution, 39 (9) msac196. doi: 10.1093/molbev/msac196

VIVID: a web application for variant interpretation and visualisation in multidimensional analyses

2022

Journal Article

Sequence grammar underlying the unfolding and phase separation of globular proteins

Ruff, Kiersten M., Choi, Yoon Hee, Cox, Dezerae, Ormsby, Angelique R., Myung, Yoochan, Ascher, David B., Radford, Sheena E., Pappu, Rohit V. and Hatters, Danny M. (2022). Sequence grammar underlying the unfolding and phase separation of globular proteins. Molecular Cell, 82 (17), 3193-3208.e8. doi: 10.1016/j.molcel.2022.06.024

Sequence grammar underlying the unfolding and phase separation of globular proteins

2022

Journal Article

epitope3D: a machine learning method for conformational B-cell epitope prediction

da Silva, Bruna Moreira, Myung, YooChan, Ascher, David B. and Pires, Douglas E. V. (2022). epitope3D: a machine learning method for conformational B-cell epitope prediction. Briefings in Bioinformatics, 23 (1) bbab423, 1-8. doi: 10.1093/bib/bbab423

epitope3D: a machine learning method for conformational B-cell epitope prediction

2021

Journal Article

mmCSM-NA: accurately predicting effects of single and multiple mutations on protein–nucleic acid binding affinity

Nguyen, Thanh Binh, Myung, Yoochan, de Sá, Alex G. C., Pires, Douglas E. V. and Ascher, David B. (2021). mmCSM-NA: accurately predicting effects of single and multiple mutations on protein–nucleic acid binding affinity. NAR Genomics and Bioinformatics, 3 (4) lqab109, lqab109. doi: 10.1093/nargab/lqab109

mmCSM-NA: accurately predicting effects of single and multiple mutations on protein–nucleic acid binding affinity

2021

Journal Article

CSM-AB: graph-based antibody–antigen binding affinity prediction and docking scoring function

Myung, Yoochan, Pires, Douglas E. V. and Ascher, David B. (2021). CSM-AB: graph-based antibody–antigen binding affinity prediction and docking scoring function. Bioinformatics, 38 (4), 1141-1143. doi: 10.1093/bioinformatics/btab762

CSM-AB: graph-based antibody–antigen binding affinity prediction and docking scoring function

2021

Journal Article

Mercury methylation by metabolically versatile and cosmopolitan marine bacteria

Lin, Heyu, Ascher, David B., Myung, Yoochan, Lamborg, Carl H., Hallam, Steven J., Gionfriddo, Caitlin M., Holt, Kathryn E. and Moreau, John W. (2021). Mercury methylation by metabolically versatile and cosmopolitan marine bacteria. The ISME Journal, 15 (6), 1810-1825. doi: 10.1038/s41396-020-00889-4

Mercury methylation by metabolically versatile and cosmopolitan marine bacteria

2021

Journal Article

Author Correction: Exploring the structural distribution of genetic variation in SARS-CoV-2 with the COVID-3D online resource

Portelli, Stephanie, Olshansky, Moshe, Rodrigues, Carlos H. M., D’Souza, Elston N., Myung, Yoochan, Silk, Michael, Alavi, Azadeh, Pires, Douglas E. V. and Ascher, David B. (2021). Author Correction: Exploring the structural distribution of genetic variation in SARS-CoV-2 with the COVID-3D online resource. Nature Genetics, 53 (2), 254-254. doi: 10.1038/s41588-020-00775-x

Author Correction: Exploring the structural distribution of genetic variation in SARS-CoV-2 with the COVID-3D online resource

2020

Journal Article

Prediction of rifampicin resistance beyond the RRDR using structure-based machine learning approaches

Portelli, Stephanie, Myung, Yoochan, Furnham, Nicholas, Vedithi, Sundeep Chaitanya, Pires, Douglas E. V. and Ascher, David B. (2020). Prediction of rifampicin resistance beyond the RRDR using structure-based machine learning approaches. Scientific Reports, 10 (1) 18120, 1-13. doi: 10.1038/s41598-020-74648-y

Prediction of rifampicin resistance beyond the RRDR using structure-based machine learning approaches

2020

Journal Article

Exploring the structural distribution of genetic variation in SARS-CoV-2 with the COVID-3D online resource

Portelli, Stephanie, Olshansky, Moshe, Rodrigues, Carlos H. M., D’Souza, Elston N., Myung, Yoochan, Silk, Michael, Alavi, Azadeh, Pires, Douglas E. V. and Ascher, David B. (2020). Exploring the structural distribution of genetic variation in SARS-CoV-2 with the COVID-3D online resource. Nature Genetics, 52 (10), 999-1001. doi: 10.1038/s41588-020-0693-3

Exploring the structural distribution of genetic variation in SARS-CoV-2 with the COVID-3D online resource

2020

Journal Article

EasyVS: a user-friendly web-based tool for molecule library selection and structure-based virtual screening

Pires, Douglas E V, Veloso, Wandré N P, Myung, YooChan, Rodrigues, Carlos H M, Silk, Michael, Rezende, Pâmela M, Silva, Francislon, Xavier, Joicymara S, Velloso, João P L, da Silveira, Carlos H and Ascher, David B (2020). EasyVS: a user-friendly web-based tool for molecule library selection and structure-based virtual screening. Bioinformatics, 36 (14), 4200-4202. doi: 10.1093/bioinformatics/btaa480

EasyVS: a user-friendly web-based tool for molecule library selection and structure-based virtual screening

2020

Journal Article

mmCSM-AB: guiding rational antibody engineering through multiple point mutations

Myung, Yoochan, Pires, Douglas E. V. and Ascher, David B. (2020). mmCSM-AB: guiding rational antibody engineering through multiple point mutations. Nucleic Acids Research, 48 (W1), W125-W131. doi: 10.1093/nar/gkaa389

mmCSM-AB: guiding rational antibody engineering through multiple point mutations

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