- The 4th Symposium on Biophysics Postgraduate Research in Hong Kong
第四屆香港生物物理研究生學術年會
Date: 07/04/2018
Location: Room 1103, Academic Building, Hong Kong University of Science and Technology
Poster session: the outside area of LT-B and LT-C
The Keynote Speaker:
|
Prof. Frank Noé
Professor of Mathematical Modeling, Departments of Mathematics, Physics and Chemistry
Freie Universität (FU) Berlin,
Berlin, Germany |
 |
Title: Deep learning and rare event sampling for molecular kinetics – beyond the seconds timescale
Abstract: I will present new shallow and deep machine learning techniques to extract models from massive
molecular dynamics simulations. Adaptive sampling and enhanced sampling methods can be exploited
with multi-ensemble Markov models in order to probe rare events and extract the equilibrium protein
kinetics beyond the seconds timescale with all-atom models. With these techniques, we could for the
first time obtain an extensive ensemble of protein: protein association and dissociation pathways for a
stable complex. With these or related techniques, biomolecular association and transition events can
now be probed on all biologically relevant timescales, leaving us with the challenge to scale to many
molecules and large lengthscales in order to probe the inner workings of the cell.
Biography:
2002 MSc in Computer Science at Cork Institute of Technology, Ireland
2006 PhD in Heidelberg, Germany, with Jeremy C. Smith
2007-13 Independent Group Leader in Matheon Research Center, Berlin, Germany
2013 ERC starting grant
2013-Now Professor for Mathematics, Physics and Chemistry in Berlin, Germany
2016-Now Adjunct Professor for Chemistry in Rice University, Houston
2017 ERC consolidator grant
The tentative schedule (PDF Version)
|
Speaker |
Organization |
Title |
Time |
| Poster set up & Registration |
|
|
|
9:00-9:30 |
| Session Chair |
Xuhui Huang |
HKUST |
|
|
| Opening Ceremony |
Zhenyang Lin |
Head, Department of Chemistry, HKUST |
|
9:30-9:45 |
| Keynote Speech |
Frank Noé |
Professor of Mathematical Modeling, Departments of Mathematics, Physics and Chemistry, FU Berlin |
Deep learning and rare event sampling for molecular kinetics – beyond the seconds timescale |
9:45-11:00 |
| Photo Session |
|
|
|
11:00-11:10 |
| Poster Session |
(Coffee & Refreshments provided) |
Location: the outside area of LT-B and LT-C |
|
11:10-14:00 |
| Session Chair: |
Hyokeun PARK |
HKUST |
|
|
| Oral 1 |
Kevin Tsia |
Department of Electrical and Electronic Engineering, HKU |
Enabling deep single-cell image-based analysis by all-optical laser-scanning imaging cytometry |
14:00-14:30 |
| Oral 2 |
Yi Wang |
Department of Physics, CUHK |
Study of substrate permissiveness of a plant enzyme via MD simulations |
14:30-15:00 |
| Oral 3 |
Jun Fan |
Department of Physics, CityU |
Boron nitride nanosheet affects the ordering of cellmembrane |
15:00-15:30 |
| Coffee Break |
|
|
|
15:30-16:00 |
| Session Chair: |
Jinqing Huang |
HKUST |
|
|
| Oral 4 |
Yan-Xiang Zhao |
Department of Applied Biology and Chemical Technology, PolyU |
Targeting the Beclin1-Atg14L/UVRAG interaction for autophagy regulation: molecular mechanism and design of novel modulators |
16:00-16:30 |
| Oral 5 |
Menglong Zeng (Prof. Mingjie Zhang’s group) |
Division of Life Science, HKUST |
Reconstitute postsynaptic densities to understand synapse formation and plasticity. |
16:30-17:00 |
| Oral 6 |
Pan-Jun Kim |
Department of Biology, HKBU |
Systems approach to complex human microbial networks |
17:00-17:30 |
| Closing Ceremony |
|
|
|
17:30-17:40 |
