Bi Zhao

According to our database, Bi Zhao authored at least 13 papers between 2012 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

CAID prediction portal: a comprehensive service for predicting intrinsic disorder and binding regions in proteins.

Alessio Del Conte, Adel Bouhraoua, Mahta Mehdiabadi, Damiano Clementel, Alexander Miguel Monzon, Alex S. Holehouse, Daniel A. Griffith, Ryan J. Emenecker, Ashwini Patil, Ronesh Sharma, Tatsuhiko Tsunoda, Alok Sharma, Yi Jun Tang, Bin Liu, Claudio Mirabello, Björn Wallner, Burkhard Rost, Dagmar Ilzhöfer, Maria Littmann, Michael Heinzinger, Lea I M. Krautheimer, Michael Bernhofer, Liam J. McGuffin, Isabelle Callebaut, Tristan Bitard Feildel, Jian Liu, Jianlin Cheng, Zhiye Guo, Jinbo Xu, Sheng Wang, Nawar Malhis, Jörg Gsponer, Chol-Song Kim, Kun-Sop Han, Myong-Chol Ma, Lukasz A. Kurgan, Sina Ghadermarzi, Akila Katuwawala, Bi Zhao, Zhenling Peng, Zhonghua Wu, Gang Hu, Kui Wang, Md. Tamjidul Hoque, Md Wasi Ul Kabir, Michele Vendruscolo, Pietro Sormanni, Min Li, Fuhao Zhang, Pengzhen Jia, Yida Wang, Michail Yu. Lobanov, Oxana V. Galzitskaya, Wim F. Vranken, Adrián Díaz, Thomas Litfin, Yaoqi Zhou, Jack Hanson, Kuldip K. Paliwal, Zsuzsanna Dosztányi, Gábor Erdös, Silvio C. E. Tosatto, Damiano Piovesan

Nucleic Acids Res., July, 2023

CLIP: accurate prediction of disordered linear interacting peptides from protein sequences using co-evolutionary information.

Zhenling Peng, Zixia Li, Qiaozhen Meng, Bi Zhao, Lukasz A. Kurgan

Briefings Bioinform., January, 2023

2022

DeepDISOBind: accurate prediction of RNA-, DNA- and protein-binding intrinsically disordered residues with deep multi-task learning.

Fuhao Zhang, Bi Zhao, Wenbo Shi, Min Li, Lukasz A. Kurgan

Briefings Bioinform., 2022

2021

DescribePROT: database of amino acid-level protein structure and function predictions.

Bi Zhao, Akila Katuwawala, Christopher J. Oldfield, A. Keith Dunker, Eshel Faraggi, Jörg Gsponer, Andrzej Kloczkowski, Nawar Malhis, Milot Mirdita, Zoran Obradovic, Johannes Söding, Martin Steinegger, Yaoqi Zhou, Lukasz A. Kurgan

Nucleic Acids Res., 2021

DisoLipPred: accurate prediction of disordered lipid-binding residues in protein sequences with deep recurrent networks and transfer learning.

Akila Katuwawala, Bi Zhao, Lukasz A. Kurgan

Bioinform., 2021

2020

Joint Virtual Energy Storage Modeling with Electric Vehicle Participation in Energy Local Area Smart Grid.

Rui-Cheng Dai, Bi Zhao, Xiao-Di Zhang, Jun-Wei Yu, Bo Fan, Biao Liu

Complex., 2020

2017

Measuring the inter-sample heterogeneity by dynamic PCA biplot.

Bi Zhao, Bin Xue

Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

2015

Energy-efficient delay-tolerant cognitive radio networks.

Bi Zhao

PhD thesis, 2015

2013

Increased Energy Efficiency via Delay-Tolerant Transmissions in Cognitive Radio Networks.

Bi Zhao, Vasilis Friderikos

Netw. Protoc. Algorithms, 2013

Balancing Transmission and Storage Cost for Reducing Energy Consumption in Mobile Devices.

Bi Zhao, Vasilis Friderikos

Proceedings of the 77th IEEE Vehicular Technology Conference, 2013

Extending recharging cycles of mobile devices with intelligent use of wireless interfaces.

Bi Zhao, Vasilis Friderikos

Proceedings of the 24th IEEE Annual International Symposium on Personal, 2013

2012

Optimal stopping for energy efficiency with delay constraints in Cognitive Radio networks.

Bi Zhao, Vasilis Friderikos

Proceedings of the 23rd IEEE International Symposium on Personal, 2012

A queuing-based delay-tolerant scheme for energy efficiency over cognitive radio networks.

Bi Zhao, Vasilis Friderikos

Proceedings of the Workshops Proceedings of the Global Communications Conference, 2012