个人/课题组简介
胡晓攀,华中农业大学信息学院/生命科学技术学院教授、博士生导师,湖北洪山实验室研究员。主要研究方向为微生物基因组进化、虚拟细胞构建和最优基因组设计等,以第一或通讯作者身份在Science、Nature Communications、PLOS Genetics、mSystems等期刊发表学术论文。
课题组同时招收具备干实验或湿实验背景的学生,欢迎有生物学、生物信息学、计算机科学、统计学等相关学科背景的本科生、硕士/博士研究生加入。本课题组长期招聘博士后,欢迎通过邮件联系(xiao-pan.hu@mail.hzau.edu.cn)。
代表论文 Selected Publications
X.-P. Hu, B. Brahmantio, K. Bartoszek, M. J. Lercher, Most bacterial gene families are biased toward specific chromosomal positions. Science 388, 186-191 (2025). https://www.science.org/stoken/author-tokens/ST-2562/full
A. Kroll, Y. Rousset, X.-P. Hu, N. A. Liebrand, M. J. Lercher, Turnover number predictions for kinetically uncharacterized enzymes using machine and deep learning. Nat. Commun. 14, 4139 (2023).
X.-P. Hu, H. Dourado, P. Schubert, M. J. Lercher, The protein translation machinery is expressed for maximal efficiency in Escherichia coli. Nat. Commun. 11, 5260 (2020).
X.-P. Hu, M. J. Lercher, An optimal growth law for RNA composition and its partial implementation through ribosomal and tRNA gene locations in bacterial genomes. PLOS Genet. 17, e1009939 (2021).
X.-P. Hu, S. Schroeder, M. J. Lercher, Proteome efficiency of metabolic pathways in Escherichia coli increases along the nutrient flow. mSystems 8, e00760-23 (2023).
其他论文 Other publications
L. Tian, T. Liu, K.-J. Hua, X.-P. Hu, B.-G. Ma, The Spatial Organization of Bacterial Transcriptional Regulatory Networks. Microorganisms 10, 2366 (2022).
Y. Yang, X.-P. Hu, B.-G. Ma, Construction and simulation of the Bradyrhizobium diazoefficiens USDA110 metabolic network: a comparison between free-living and symbiotic states. Mol. BioSyst, 13, 607-620 (2017).
H.-R. Xu, J.-F. Cheng, X.-P. Hu, Y.-Y. Chu, B.-G. Ma, Are protein hubs faster folders? Exploration based on Escherichia coli proteome. Amino Acids 48, 2747-2753 (2016).
X.-P. Hu, Y. Yang, B.-G. Ma, Amino Acid Flux from Metabolic Network Benefits Protein Translation: the Role of Resource Availability. Sci. Rep. 5, 11113 (2015).
H. Xiong, Y. Yang, X.-P. Hu, Y.-M. He, B.-G. Ma, Sequence determinants of prokaryotic gene expression level under heat stress. Gene 551, 92-102 (2014).