Physical, Computational and Data-driven Biology of Proteins and Nucleic Acids
With the rapid advancement in high-throughput omic techniques, big data plays an increasingly important role in driving discovery and translational development in every field of biology. This era of big data calls for more concerted computational and experimental approaches to address fundamental and practical biological problems from a physical point of view. The conference on “Physical, Computational and Data-driven Biology of Proteins and Nucleic Acids” (PCDB2020) hopes to provide a forum for promoting integrated computational and experimental studies, enhancing the communications between theoretical, computational, and experimental biologists, and nurturing cross-disciplinary collaborations.
The number of participants will be limited in order to facilitate networking opportunities, therefore we encourage early registration to avoid disappointment.
Organising Committee
- Prof. Yaoqi Zhou - Griffith University, Australia
- Prof. Alan Mark - University of Queensland, Australia
- Prof. Lyn Griffiths - Queensland University of Technology, Australia
- Dr. Zhixiu Li - Queensland University of Technology, Australia
- Dr. Haibo Yu - University of Wollongong, Australia
- Prof. Daisuke Kihara - Purdue University, USA
- Prof. Jin Wang - Stony Brook University, USA
- Prof. Jie Yan - National University of Singapore, Singapore
Plenary Speakers
- Jeffrey Skolnick, Director, Center for the Study of Systems Biology, Georgia Tech, USA
Confirmed Speakers
- Jyotsna Batra, Queensland University of Technology, Australia
- Shi-Jie Chen, University of Missouri-Columbia, USA
- Liang Dai, City University of Hongkong, Hongkong, USA
- Keith Dunker, Indiana University School of Medicine, USA
- Jiali Gao, University of Minnesota, USA
- Yiqin Gao, Peking University, China
- Haipeng Gong, Tsinghua University, China
- Xinqi Gong, Renmin Univesity, China
- Shigehiko Hayashi, Kyoto University, Japan
- Kun Huang, Regenstrief Institute, Indiana University, USA
- Xuhui Huang, Hongkong University of Science and Technology, Hongkong, China
- Yanyi Huang, Peking University, China
- Jun Jiang, University of Science and Technology of China, China
- Dima Kozakov, Stony Brook University and Laufer Center, USA
- Jerome Lacroix, Western University of Health Sciences, USA
- Luhua Lai, Peking University, China
- Guohui Li, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, China
- Wenfei Li, Nanjing University, China
- Jie Liang, University of Illinois- Chicago, USA
- Feng Liu, Nanjing University, China
- Haiyan Liu, University of Science and Technology of China, China
- Yunlong Liu, Indiana University School of Medicine, USA
- Lyna Luo, Western University of Health Sciences, USA
- Ray Luo, University of California, Irvine, USA
- Jianpeng Ma, Baylor College of Medicine, USA
- Megan O’Mara, Australian National University, Australia
- Hong Qian, University of Washington, Seattle, USA.
- Yuji Sugita, RIKEN Center for Computational Science, Japan
- Fenzhu Sun, University of Southern California, USA
- Shoji Takada, Kyoto University, Japan
- Jihua Wang, Dezhou University, China
- Jun Wang, Nanjing University, China
- Wei Wang,Nanjing University, China
- Wenning Wang, Fudan University, China
- Yi Wang, Chinese University of Hong Kong, Hong Kong, China
- Guanghong Wei, Fudan University, China
- Yi Xiao, Huazhong University of Science and Technology, China
- Dong Xu, University of Missouri-Columbia, USA
- Haw Yang, Princeton University, USA
- Jianyi Yang, Nankai University, China
- Yuedong Yang, Sun Yat-Sen University, China
- Rilei Yu, Ocean University of China, China
- Xiaoqin Zou, University of Missouri-Columbia, USA
- Zhiyong Zhang, University of Science and Technology of China
- Huiying Zhao, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, China
- Dongping Zhong, Ohio State University, USA
- Wei Zhuang, Fujian Institute of Research on the Structure of Matter, China
- Ruhong Zhou, IBM TJ Watson Research Center, USA
Programme
This is a preliminary guide, subject to change
Sunday 12 July, 2020
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Monday 13 July – Thursday 16 July, 2020
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Friday 17 July, 2020
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Saturday 18 July, 2020
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Registration
Early bird registration until 14 April 2020 | Full registration from 15 April 2020 | |
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Full participant | AUD$800 | AUD$950 |
Full participant (without dinners) | AUD$600 | AUD$750 |
Students/Postdocs | AUD$550 | AUD$650 |
Students/Postdocs (without dinners) | AUD$350 | AUD$450 |
Registration fee includes admission to all conference sessions, the welcome dinner (Sunday 12 July) and the conference finale dinner (Friday 17 July), daily morning tea and lunches during the conference, excursion tickets, and delegate materials unless you have chosen the option of no dinners.
Please reserve your hotel room as soon as possible after registration using the code 'PCDB2020 Conference' in order to receive the discounted room rate (details below under 'Venue').
Abstract Submission
Visa Info
Most US, Japan, South Korea, Singapore, Hong Kong passport holders traveling to Australia for tourism or business purposes for less than 90 days can obtain an Electronic Travel Authority (ETA). For more information, click here.
For Chinese and other citizens, you may need to request a letter for visa application. Contact us via email at PCDB2020@griffith.edu.au to request a letter (please provide your full name and affiliation address in the email).
Venue
Location: Mantra on View Surfers Paradise
Address: 22 View Avenue, Surfers Paradise, QLD, Australia 4217
Special Conference Rates
Travel From Airport
For international attendees, the recommended arrival and departure airport is Brisbane Airport.There are various commute options available to you from the airport to the hotel:
1) Door-to-door shuttle: we recommend Con-X-ion Airport Transfers (AUD$50-60). To make a booking, visit Con-X-ion
2) DiDi or Uber
3) Train: a train leaves Brisbane International Airport for the Gold Coast every 30 minutes (AUD$30). Approximate travel time is 1 hr 30 minutes, arriving at Helensvale train station. From there you can take the G:link TRAM to Cypress Ave station. We recommend purchasing a GO card at the airport, which is more cost-effective and can be used to cover the cost of both your train and tram commute.
For domestic attendees,the recommended arrival and departure airport is Gold Coast Airport. There are various commute options available to you from the airport to the hotel:
1) Door-to-door shuttle: we recommend Con-X-ion Airport Transfers (~AUD$25). To make a booking, visit Con-X-ion
2) DiDi or Uber
3) Bus route 777: departs from Gold Coast Airport; exit the bus at Broadbeach South station and then take the G:link TRAM to Cypress Ave station.
Tour Options
- The hotel has a tour desk in the lobby area where they can assist you in booking any tours during your stay.
- To view recommended tours and contact information, visit Destination Gold Coast
- For those who are interested in Chinese tours, please check the following websites:
- 吃喝玩乐 http://www.tctm.com.au
- Harkhark https://travel.harkhark.com.au