High-throughput analysis and protein engineering using microcapillary arrays B Chen, S Lim, A Kannan, SC Alford, F Sunden, D Herschlag, IK Dimov, ... Nature chemical biology 12 (2), 76-81, 2016 | 126 | 2016 |
Highly selective production of succinic acid by metabolically engineered Mannheimia succiniciproducens and its efficient purification S Choi, H Song, SW Lim, TY Kim, JH Ahn, JW Lee, MH Lee, SY Lee Biotechnology and Bioengineering 113 (10), 2168-2177, 2016 | 70 | 2016 |
Gene encoding formate dehydrogenases D & E and method for preparing succinic acid using the same SY Lee, H Song, YS Jang, SW Lim US Patent 7,241,594, 2007 | 64 | 2007 |
Dual display of proteins on the yeast cell surface simplifies quantification of binding interactions and enzymatic bioconjugation reactions S Lim, JE Glasgow, M Filsinger Interrante, EM Storm, JR Cochran Biotechnology journal 12 (5), 1600696, 2017 | 48 | 2017 |
Engineering high affinity protein–protein interactions using a high-throughput microcapillary array platform S Lim, B Chen, MS Kariolis, IK Dimov, TM Baer, JR Cochran ACS Chemical Biology 12 (2), 336-341, 2017 | 18 | 2017 |
Micro-screening apparatus, process, and products JR Cochran, TM Baer, B Chen, SC Alford, A Kannan, S Lim, I Dimov US Patent 10,370,653, 2019 | 12 | 2019 |
Engineered microorganism producing homo-succinic acid and method for preparing succinic acid using the same SY Lee, SW Lim, H Song US Patent 9,217,138, 2015 | 11 | 2015 |
Novel engineered microorganism producing homo-succinic acid and method for preparing succinic acid using the same SY Lee, SW Lim, H Song WO Patent App. 2,008,013,405, 2008 | 11* | 2008 |
Predicting likelihood of in vivo chemotherapy response in canine lymphoma using ex vivo drug sensitivity and immunophenotyping data in a machine learning model Z Bohannan, RS Pudupakam, J Koo, H Horwitz, J Tsang, A Polley, ... Veterinary and Comparative Oncology 19 (1), 160-171, 2021 | 9 | 2021 |
ML-based sequential analysis to assist selection between VMP and RD for newly diagnosed multiple myeloma SS Park, JC Lee, JM Byun, G Choi, KH Kim, S Lim, D Dingli, YW Jeon, ... npj Precision Oncology 7 (1), 46, 2023 | 7 | 2023 |
Predicting dynamic clinical outcomes of the chemotherapy for canine lymphoma patients using a machine learning model J Koo, K Choi, P Lee, A Polley, RS Pudupakam, J Tsang, E Fernandez, ... Veterinary Sciences 8 (12), 301, 2021 | 7 | 2021 |
Multimodal machine learning models identify chemotherapy drugs with prospective clinical efficacy in dogs with relapsed B-cell lymphoma AJ Callegari, J Tsang, S Park, D Swartzfager, S Kapoor, K Choy, S Lim Frontiers in Oncology 14, 1304144, 2024 | 4 | 2024 |
Prognostic utility of the patient-derived AML cells' ex vivo drug sensitivity results S Park, SS Park, BS Cho, S Lim, KH Kim, G Choi, S Ham, S Lee, S Park, ... Blood 142, 1523, 2023 | 2 | 2023 |
Prognostic utility of the flow cytometry and clonality analysis results for feline lymphomas S Kapoor, S Sen, J Tsang, QJ Yap, S Park, J Cromarty, D Swartzfager, ... Veterinary Sciences 11 (8), 331, 2024 | 1 | 2024 |
A study on the relationship between MDR1 mutation and ex vivo drug sensitivities of canine lymphomas G Choi, QJ Yap, N Ko, S Namgoong, H Lee, M Oh, G Choi, S Lim, J Koo Biotechnology and Bioprocess Engineering, 1-8, 2025 | | 2025 |
A Study on the Relationship between Ex Vivo Drug Sensitivity and Clinical Outcome of Acute Lymphoblastic Leukemia SS Park, S Lim, S Ham, S Lee, S Park, H Yi, S Lee, JH Yoon, J Koo Blood 144, 6117, 2024 | | 2024 |
P-118 Machine learning assisted risk stratification of newly diagnosed multiple myeloma with respect to the VRd treatment J Koo, G Choi, SS Park, JM Byun, S Lim, JC Lee Clinical Lymphoma Myeloma and Leukemia 23, S100-S101, 2023 | | 2023 |
Methods and systems for predicting in-vivo response to drug therapies ZS Bohannan, S Lim, RSK Pudupakam US Patent App. 18/301,172, 2023 | | 2023 |
Devices and methods for high-throughput screening of chemical and biochemical compounds S Lim, J Kim, J Koo, H Lee WO Patent App. 2019/045926 A1, 2019 | | 2019 |
Development and Application of New Platform Technologies for Protein Engineering S Lim Stanford University, 2017 | | 2017 |