Xiao Fan

发表

High-throughput Computational Characterization and Prediction of MicroRNA Targets

Xiao Fan, Xiao Fan, 2016 .

Genome-wide analysis of thapsigargin-induced microRNAs and their targets in NIH3T3 cells

Lukasz Kurgan, Y. Ilnytskyy, M. Michalak, 2014, Genomics data.

Exceptionally abundant exceptions: comprehensive characterization of intrinsic disorder in all domains of life

Lukasz Kurgan, Jing Yan, Zhenling Peng, 2014, Cellular and Molecular Life Sciences.

Structural features important for differences in protein partitioning in aqueous dextran-polyethylene glycol two-phase systems of different ionic compositions.

Lukasz Kurgan, V. Uversky, B. Zaslavsky, 2014, Biochimica et biophysica acta.

Endoplasmic reticulum and the microRNA environment in the cardiovascular system 1.

Lukasz Kurgan, M. Michalak, Zhenling Peng, 2019, Canadian journal of physiology and pharmacology.

Analyzing the effects of protecting osmolytes on solute–water interactions by solvatochromic comparison method: II. Globular proteins

Lukasz Kurgan, V. Uversky, B. Zaslavsky, 2015 .

Interplay Between the Oxidoreductase PDIA6 and microRNA-322 Controls the Response to Disrupted Endoplasmic Reticulum Calcium Homeostasis

Lukasz Kurgan, D. H. Kim, C. Hetz, 2014, Science Signaling.

Comprehensive overview and assessment of computational prediction of microRNA targets in animals

Lukasz A. Kurgan, Xiao Fan, Lukasz Kurgan, 2015, Briefings Bioinform..

Covering complete proteomes with X-ray structures: a current snapshot

Lukasz Kurgan, Jing Yan, Marcin J. Mizianty, 2014, Acta crystallographica. Section D, Biological crystallography.

Functional interrogation of DNA damage response variants with base editing screens

Yufeng Shen, R. Rabadán, Junfei Zhao, 2021, Cell.

The intrinsic disorder status of the human hepatitis C virus proteome.

Lukasz Kurgan, Vladimir N Uversky, Bin Xue, 2014, Molecular bioSystems.

Accurate prediction of disorder in protein chains with a comprehensive and empirically designed consensus

Lukasz Kurgan, Xiao Fan, Lukasz Kurgan, 2014, Journal of biomolecular structure & dynamics.

Computational Prediction of Intrinsic Disorder in Protein Sequences with the disCoP Meta-predictor.

A Keith Dunker, Lukasz Kurgan, Christopher J Oldfield, 2020, Methods in molecular biology.

A systematic survey of PRMT interactomes reveals the key roles of arginine methylation in the global control of RNA splicing and translation

Zefeng Wang, Xiaoxu Tian, Zhaoyuan Fang, 2019, bioRxiv.

Exceptionally abundant exceptions: comprehensive characterization of intrinsic disorder in all domains of life

Lukasz Kurgan, V. Uversky, B. Xue, 2014, Cellular and Molecular Life Sciences.