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RCUK SUMMER SCHOOL on
ADVANCED TECHNIQUES FOR DRUG DELIVERY RESEARCH:
MOLECULAR-LEVEL CHARACTERISATION AND IN-SILICO METHODS
at Shanghai Institute of Materia Medica Chinese Academy of Science, Shanghai, P.R China,
26th October – 1st November 2008

Co-organized by:
*Institute of Pharmaceutical Innovation (IPI), University of Bradford, Bradford
*Shanghai Institute of Materia Medica (SIMM), Chinese Academy of Science
*Shanghai University of Traditional Chinese Medicine
*School of Pharmacy, Fudan University

Organisers
Content
Aim and expected outcomes
Programme & Timetable
Lectures & workshops
Lecturers
Plenary Lecturers
Selection criteria for participants
Registration
Accommodation
Financial support for UK students
Venue & Travel details
ORGANISERS
Dr. Qun Shao & Prof. Jamshed Anwar, Institute of Pharmaceutical Innovation (IPI), University of Bradford, Bradford, West Yorkshire, BD7 1DP, UK
Ms.Ying Wang & Prof. Jiwen Zhang, Shanghai Institute of Materia Medica (SIMM), Chinese Academy of Science, Shanghai, 201203, P.R.China
CONTENT
The summer school will introduce and discuss advanced techniques and methods, both established and newly emerging, which are finding increasing utility in drug delivery research. In particular, the emphasis is on techniques and methods that provide a molecular-level underpinning of the science relevant to drug delivery with applications to nanotechnology-based drug delivery systems. Experimental techniques to be covered include high-resolution imaging (atomic force and scanning tunneling microscopy), spectroscopic methods including solid state NMR and X-ray and neutron diffraction, and thermal methods. The in-silico modeling component of the summer school will focus on two cutting-edge computational technologies namely molecular simulation and artificial intelligence, which are attracting increasing interest both in fundamental research and from the pharmaceutical industry. A greater uptake of these techniques and methods promises to enhance our fundamental knowledge of the underlying molecular processes, hence will enable the development of drug delivery systems to be more rationally-based, involving fewer and better-informed experiments. The computer modeling can also enable the prediction of properties such as solubilities, partition coefficients, which will aid the selection of an appropriate molecule from the numerous candidate drugs, and help to accelerate the development of more efficacious and safer medicines.
AIMS
The aim of the summer school is to disseminate and share current knowledge, both conceptually and in the form of hands-on technical experience (material not normally detailed in publications), of the important techniques, both experimental and modelling which are underpinning current advances in pharmaceutical science. The priority audience would be the younger scientists (PhD Students and postdoctoral research fellows) in the academic sector and those in industry working in the area of drug delivery. We would also welcome a limited number of established scientists, whose work may benefit from attendance at the school. Priority will also be given to female scientists in line with developing an equal opportunity environment.
Expected outcomes include:
1.Participating scientists will acquire knowledge, both conceptual and of the hand-on type experience including ‘tricks of the trade’ and pitfalls, of the important molecular-level techniques that are finding utility in drug delivery research.
2.Enable students to identify and integrate advanced techniques and concepts into their current research
3.Plenary lectures will serve to inspire students towards high quality ambitious research and expose the students to eminent role models.
PROGRAMME & TIMETABLE
The format of the summer school includes lectures in the morning, workshops/tutorials in the afternoon to consolidate the contents of the lectures, and a plenary lecture given by an eminent scientist to conclude each day. One of the afternoons is scheduled for student/participant presentations which will be selected from submitted abstracts. Wednesday afternoon will be a free session for social activities, possibly a visit to a site of historical significance, theatre or a tourist attraction.
Course timetable
Lectures
1. Process Analytical Technology – Prof. Peter York
2. Introduction to artificial intelligence and knowledge engineering – Dr. Qun Shao
3. Pharmaceutical application of neural computing technologies on drug delivery – Dr. Marcel de Matas
4. Expert systems – rule based and case based – Dr. Marcel de Matas & Dr. Qun Shao
5. Molecular modelling: forces between atoms – Prof. Jamshed Anwar
6. Methods: Molecular dynamics simulations and Monte Carlo – Prof. Jamshed Anwar
7. Software for molecular simulation – Prof. Jamshed Anwar
8. Tumor targeting with PEGlated polymer nanoparticles and PEGlated conjugates. Prof.Yuanying Pei
9. Release-Controlling Absorption Enhancement of Enterally Administered Ophiopogon Japonicus Polysaccharide by Sodium Caprate in Rats. Dr. Xiao Lin
10. Biopharmaceutical Considerations in Developing Oral Lipid-Based Formulations of Poorly Water Soluble Drugs – Prof. Yong Gan
11. Spectroscopy: Raman, TeraHertz, and solid-state NMR – Dr. Ian Scowen
12. Receptor-targeted bioconjugates for improved anticancer drug delivery – Prof. Min Liu
13. Diffraction I: X-rays (powder and single crystal) & neutrons – Dr. Ian Scowen
14. Drug delivery systems for tradition Chinese medicines: from single active ingredient to compound prescription – Prof. Nianping Feng
15. Multiple component release kinetics of traditional Chinese medicines – Prof. Jiwen Zhang
16. Nano drug delivery systems for reducing triptolide toxicity – Prof. Xiangliang Yang
17. To be confirmed – Prof. Dawei Chen
1. Artificial intelligence (ANN) modelling – Dr. Marcel de Matas & Dr. Qun Shao
2. Neurofuzzy logic models, Demonstration of an expert system – Dr. Marcel de Matas & Dr. Qun Shao
3. Forces between molecules using molecular modelling software – Prof. Jamshed Anwar
4. Molecular dynamics simulation exercise – Prof. Jamshed Anwar
5. Application of experiments and modelling to characterisation of crystals – Dr. Ian Scowen COURSE LECTURERS
Prof. Jamshed Anwar, Institute of Pharmaceutical Innovation
Prof. Dawei Chen, Shenyang Pharmaceutical University
Dr Marcel de Matas, Institute of Pharmaceutical Innovation
Prof. Qineng Ping, China Pharmaceutical University
Dr Ian Scowan, Institute of Pharmaceutical Innovation
Dr Qun Shao, Institute of Pharmaceutical Innovation
Prof. Xiangliang Yang, Huazhong University of Science & Technology
Prof. Peter York, Institute of Pharmaceutical Innovation
Dr. Jiwan Zheng, Shanghai Institute of Materia Medica
PLENARY LECTURERS
to be specified
SELECTION CRITERIA FOR APPLICANTS
The number of places on the summer school are limited to 60. We expect intense competition for these places and advise early application. The summer school will be primarily for PhD students and postdoctoral researchers although a limited number of established scientists will also be welcome. Participants will be welcomed from any academic institution in China (incl. Taiwan) and UK. We will accept a small number of participants from a slighter wider geographical region to include Malaysia, Singapore, Thailand, and India.
Participants are strongly encouraged to submit an abstract (maximum 200 words) for oral presentation in the workshop session.
Please complete the registration form
Workshop_registration_form.pdf
If you have any queries please contact Dr Qun Shao
We can recommended hotels at discounted rates please contact Dr. Qun Shao for more information().
FINANCIAL SUPPORT FOR UK STUDENTS
A limited number of bursaries (up to £750)covering registration and some support towards travel are available for UK students. Please supply a short CV & statement why this summer school will be of benefit. An email supporting the application from your supervisor/laboratory head is also required.
The Summer school will be held in Shanghai Institute of Materia Medica, Chinese Academy of Science (http://www.simm.ac.cn/English/English.htm), Shanghai, China. Detailed travel information will be shortly available.
Venue: Shanghai Institute of Materia Medica (SIMM), Chinese Academy of Sciences
Address: 555 Zu Chong Zhi Road, Zhangjiang Hi-tech Park, Shanghai 201203, P.R. China
Tel&Fax: 86-21-50805901

Travel Details:
1. From Pudong International Airport: Take Maglev Train to Longyang Road, and transfer to No. 2 Metro Line to the terminal station- Zhangjiang Hi-tech Park, 5 minutes’ walk to SIMM
2. From Hongqiao Airport: Take Civil Aviation airport bus to Terminal Building of Civil Aviation at Jing’an Temple or take Bus No. 925 to Remmin Square Station.
3. From Shanghai Railway Station: Take No. 1 Metro Line at Shanghai Railway Station, and transfer to No. 2 Metro Line at Renmin Square to the terminal station- Zhangjiang Hi-tech Park, Zhangjiang Hi-tech Park.
4. From Shanghai South Railway Station: Take No. 1 Metro Line at Shanghai South Railway Station, and transfer to No. 2 Metro Line at Renmin Square to the terminal station- Zhangjiang Hi-tech Park, Zhangjiang Hi-tech Park.
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