Yingsheng Zhang

Cedars-Sinai Medical Center — United States

Computer Science · Physical Sciences

14h-index765citations77works8.22yr avg
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Research Topics

Computational Drug Discovery Methods(16), Protein Structure and Dynamics(11), Machine Learning in Materials Science(10), Epigenetics and DNA Methylation(5), Cancer Genomics and Diagnostics(5)

Publications77 total

The cloacal outgrowth orchestrates co-development of the bladder and umbilical arteries
2025
A diagnostic test evaluation: dynamic optical functional imaging system for early-stage breast cancer detection
Translational Cancer Research·2025Open Access
Research and Implementation of Digital Intelligence Evaluation System Based on AB Evaluation
2024
Protocol for Xenium spatial transcriptomics studies using fixed frozen mouse brain sections
STAR Protocols·2024· 14 citedOpen Access
The impact of sex on metastasis
Nature reviews. Cancer·2024· 3 cited
Deciphering the Selectivity of CBL-B Inhibitors Using All-Atom Molecular Dynamics and Machine Learning
ACS Medicinal Chemistry Letters·2024Open Access
Enhancing Molecular Energy Predictions with Physically Constrained Modifications to the Neural Network Potential
Journal of Chemical Theory and Computation·2024· 9 cited
Unveiling pathogenesis and therapeutic targets of metastatic breast cancer through sparse modeling of genomic landscape
Computational and Structural Biotechnology Reports·2024Open Access
An efficient method by combining different basis sets and SAPT levels
Journal of Computational Chemistry·2024· 4 cited
Metabolic switch regulates lineage plasticity and induces synthetic lethality in triple-negative breast cancer
Cell Metabolism·2024· 59 citedOpen Access
Development and applications of backscattered electron and X-ray detector
BIO Web of Conferences·2024· 1 citedOpen Access
Unveiling Pathogenesis and Therapeutic Targets of Metastatic Breast Cancer Through Sparse Modelling of Genomic Landscape
2023Open Access
Patient-specific analysis of co-expression to measure biological network rewiring in individuals
Life Science Alliance·2023Open Access
Enhancing Molecular Energy Predictions with Physically Constrained Modifications to the Neural Network Potential
2023Open Access
Cell context-specific Synthetic lethality Prediction and Mechanism Analysis
2023· 1 citedOpen Access
Sparse Modeling of Genomic Landscape Identifies Pathogenic Processes and Therapeutic Targets in Metastatic Breast Cancer
2023Open Access
Deciphering the selectivity of CBL-B inhibitors using all-atom molecular dynamics and machine learning
2023· 1 citedOpen Access
Patient-Specific Analysis of Co-expression Networks for Predicting Clinical Outcomes in Breast Cancer
2023· 1 citedOpen Access
Using graph-based model to identify cell specific synthetic lethal effects
2023Open Access
Research on Human-computer Cooperation Accompanying Capability Based on Customer Service System
2023
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Frequent Co-authors

Mengchen Pu(6), Feng Long(6), Weiqiang Fu(5), Feng Zhou(5), Wenbiao Zhou(4), Bo Huang(4), Meng‐Ju Wu(3), Xue Li(3), Shiqiu Yin(3), Zaiyun Lin(3), Yucui Xin(3), Chang Liu(3), Lanying Wei(3), Mee‐Ran Kim(2), Chun Ju Chang(2), Jer‐Yen Yang(2), Chunming Guo(2), Christa M. Lam(2), Kang Ding(2), Zhongwei Li(2)