Author
Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.
12 papers
Recent·Most cited
T. Ruzmetov, T. I. Hung, S. P. Jonnalagedda, S.-h. Chen, P. Fasihianifard, Z. Guo, B. Bhanu, C.-e. A. Chang
This paper introduces a deep learning model to sample conformational ensembles of dynamic proteins, demonstrating its ability to generate novel conformations and rationalize experimental findings.
bioRxiv · May 5, 2024Biophysics
Q. Zhu, A. Balasubramanian, J. R. Asirvatham, M. Chatterjee, D. W. B. Piyarathna, J. Kaur, N. Mohamed, L. Wu, S. Wang, N. Pourfarrokh, P. D. Binsol, M. Bhargava, U. Rasaily, Y. Xu, J. Zheng, , A. Sreekumar
This study uses spatial omics to identify distinct tumor microenvironment profiles in Black and White American TNBC patients, linking them to different immunosuppressive mechanisms and clinical outcomes.
bioRxiv · Mar 17, 2024Cancer Biology
X. Chen, X. Huang, Q. Ma, P. Kuzmic, B. Zhou, J. Xu, B. Liu, H. Jiang, W. Zhang, C. Yang, S. Wu, J. Huang, H. Li, C. Long, X. Zhao, , N. Zhong
This study identifies RAY1216, a slow-tight SARS-CoV-2 Mpro inhibitor with improved pharmacokinetics and antiviral activity compared to PF-07321332, currently in phase III clinical trials.
bioRxiv · Mar 9, 2023Biochemistry
S.-H. Chen, S. Prakash, E. Helgason, C. L. Gilchrist, L. R. Kenner, R. Srinivasan, T. Sterne-Weiler, M. Hafner, R. Piskol, E. C. Dueber, H. Hamidi, N. Endres, X. Ye, W. J. Fairbrother, I. E. Wertz
This study shows proteasome-generated peptides from degraded proteins induce cell death by neutralizing IAPs, explaining the efficacy of proteolysis-modulating drugs like thalidomide analogs and bortezomib.
bioRxiv · Feb 6, 2023 · PreprintCell Biology
N. Abdelfattah, S. Natarajan, J. Maldonado, H. N. Tran, R. McMinimy, H. Borland, S.-h. Chen, F. Camargo, J. Olson, J. George, K. Yun
This study shows that Yap1, an oncogene, has sex-biased functions in medulloblastoma progression and immune suppression, with greater impact in males.
bioRxiv · Dec 21, 2022 · PreprintCancer Biology
M. B. Fessler, J. Madenspacher, P. J. Baker, K. L. Hilligan, E. Castro, J. Meacham, S.-H. Chen, R. F. Johnson, N. P. Martin, C. J. Tucker, D. Mahapatra, M. Cesta, K. D. Mayer-Barber
This study evaluates the antiviral and inflammatory effects of 25-hydroxycholesterol and its metabolite in murine SARS-CoV-2 models, finding no significant antiviral activity and potential pro-injury effects.
bioRxiv · Sep 12, 2022 · PreprintImmunology
Y.-Y. Sun, T.-T. Lin, W.-C. Cheng, I.-H. Lu, S.-H. Chen, C.-Y. Lin
This paper develops AI4ACP, a web-server for predicting anticancer peptides, showing improved performance over existing predictors.
bioRxiv · Feb 1, 2022Cancer Biology
T.-T. Lin, Y.-Y. Sun, W.-C. Cheng, I.-H. Lu, S.-H. Chen, C.-Y. Lin
The paper develops a binary classifier for identifying antiviral peptides using a GAN-augmented dataset and achieves high performance on a test set.
bioRxiv · Nov 29, 2021 · PreprintMicrobiology
T.-T. Lin, L.-Y. Yang, C.-T. Wang, G.-W. Lai, C.-F. Ko, Y.-H. Shih, S.-H. Chen, C.-Y. Lin
This study uses a deep convolutional GAN to generate novel antimicrobial peptides, which show antibacterial activity, including against antibiotic-resistant strains.
bioRxiv · Nov 22, 2021 · PreprintMicrobiology
S. Singh, N. Lee, D. Pedroza, I. Bado, C. Hamor, L. Zhang, S. Aguirre, J. Hu, Y. Shen, Y. Xu, Y. Gao, N. Zhan, S.-H. Chen, Y.-W. Wan, Z. Liu, , J. M. Rosen
bioRxiv · Feb 22, 2021 · PreprintCancer Biology
T.-T. Lin, L.-Y. Yang, I.-H. Lu, W.-C. Cheng, Z.-R. Hsu, S.-H. Chen, C.-Y. Lin
AI4AMP predicts antimicrobial activity of protein sequences using physicochemical properties encoding and deep learning, outperforming existing predictors.
bioRxiv · Dec 17, 2020 · PreprintMicrobiology
Z. Tang, S.-H. Chen, C.-e. A. Chang
This paper uses molecular simulations to study ligand-CDK8/CycC unbinding kinetics and free energy barriers, guiding the design of ligands with improved residence time.
bioRxiv · Jun 22, 2019Biophysics