课题组专注于生物与仿生体系的理论计算，主要研究方向包括但不限于：

染色质折叠：结合计算机模拟、生信分析和机器学习方法预测染色质高级结构及其对基因表达的调控。

生物相分离：通过理论计算揭示生物体系中相分离与相变的物理化学机制及其与生物学功能的关联。

仿生系统设计：基于生物体系的启发设计新型材料及人工智能算法。

近期代表性论:

1. S. Qin#, Z. Yang#, H. Liu, X. Wang, B. Miao, S. Hou*, K. Huang*. Binding memory of liquid molecules. Nature Communications, 16, 6555 (2025)

2. M. Yang, S. Qin, X. Quan, J. Wang, J. Zhou*, J. Zhao*, K. Huang*. Molecular mechanism of polyphosphate-mediated nanosheet self-assembly. Langmuir, 41, 20, 12538–12545 (2025)

3. H. Zhao#, L. Shu#, S. Qin#, F. Lyu, F. Liu, E. Lin, S. Xia, B. Wang, M. Wang, F. Shan, Y. Lin, L. Zhang, Y. Gu, G. A. Blobel, K. Huang*, H. Zhang*. Extensive mutual influences of SMC complexes shape 3D genome folding. Nature, 640(8058):543-553 (2025)

4. P. Geng#, C. Li#, X. Quan#, J. Peng#, Z. Yao, Y. Wang, M. Yang, Y. Wang, Y. Xiong, H. Liu, Y. Qi, P. Yang, K. Huang*, X. Fang*. A thermosensor FUST1 primes heat-induced stress granule formation via biomolecular condensation in Arabidopsis. Cell Research (2025)

5. K. Huang*, Y. Li, A. Shim, R. Virk, V. Agrawal, A. Eshein, R. Nap, L. Almassalha, V. Backman* and I. Szleifer*, Physical and data structure of 3D genome, Science Advances, 6: eaay4055 (2020)

6. K. Huang, M. Tagliazucchi, S.H. Park, Y. Rabin and I. Szleifer*, Nanocompartmentalization of the nuclear pore lumen, Biophysical Journal,118, 219-231 (2020)

7. K. Huang and I. Szleifer*, Design of multifunctional nanogates in response to multiple external stimuli using amphiphilic copolymer, Journal of the American Chemical Society, 139, 6422-6430 (2017)

8. K. Huang* and I. Szlufarska*, Effect of interfaces on nearby Brownian motion, Nature Communications, 6:8558 doi: 10.1038/ncomms9558 (2015)

9. K. Huang* and I. Szlufarska*, Green-Kubo relation for friction at liquid-solid interfaces, Physical Review E, 89, 032119 (2014)

*corresponding author