活动动态

活动联系人:林伟昱
电话:021-54975000
手机:15021088123
邮箱:wylin@cloudscientific.com

立即注册

我们的产品覆盖了化学信息学,生物信息学,以及实验室信息管理
针对您的研究需求

我们为您选择最适合您的产品
扫描活动二维码
Symposium on Streamlining Drug Development - Shanghai
上传时间:2018-04-27 16:59:14
主办单位: Optibrium, Lhasa Limited,BioSolveIT
时  间: 2018/05/31
地  点: The British Centre Shanghai, 17th Floor, Garden Square, 968 Beijing West Road 北京西路968号嘉地中心17楼上海英国中心
收费标准: 免费
规模人数: 50
主 讲 人: Edmund Champness,Scott McDonald,Marcus Gastreich

                    

Overview - Shanghai                                                      
 
Join us for this free to attend one-day symposium highlighting new approaches and technologies being applied to the search for future therapeutics.

The day is aimed at scientists from biotechnology, pharmaceutical organizations, not-for-profits and academia who wish to get a broad appreciation of the latest advances in drug discovery delivered by key scientists and thought leaders from leading organizations.

We are delighted to announce a number of high-profile scientists have already confirmed to present at this event including:

 
·Keynote Speaker: Zhengtian Yu (Novartis)
·Jerry Hu (Hengrui)
·Qian Liu (Janssen)
·Leo Fu (Janssen)
·Marcus Gastreich (BioSolveIT)
·Edmund Champness (Optibrium)
·Scott McDonald (Lhasa Limited)


 
 
Speakers
 
We are delighted to announce that the following speakers will present at this meeting, more will be annonced very soon:
 
Edmund Champness
Optibrium Ltd
 
    After graduating with a degree in Mathematics in 1995 Ed joinedGlaxoWellcome working as part of a pioneering team building predictive pharmaceutical tools. He developed the first graphical user-interfaces for working with predictive models which were adopted globally withinGlaxo Wellcome. He was a core member of the team which established the UK operation of Camitro in 2001 and remained with that company (now operating within BioFocus DPI following merger and acquisition) until 2008.During this time he designed and built the StarDrop software and, in 2009,co-founded Optibrium.
 
Scott McDonald 
Lhasa Limited
 
     After graduating with a degree in Chemistry in 1999 Scott joined Croda International as a Research Chemist developing novel slip additives for plastics before moving into the promotion of their speciality chemicals within the cosmetic and pharmaceutical markets. In 2003 he joined the not-for-profit organisation, Lhasa Limited, and as the Director of Member Services leads the promotion of their innovative in silico prediction and database systems which support the pharmaceutical industry in bringing safe, life enhancing medicines to market.
 
Marcus Gastreich
BioSolveIT GmbH
 
    Marcus Gastreich is BioSolveIT's Director Application Science acting as a strategic interface between pharma clients and IT development. BioSolveIT is a globally acting provider of drug modeling software and services. He holds a diploma degree in chemistry from the University of Bonn, Germany and did his doctorate in Theoretical Chemistry undersupervision of Prof.Christel M. Marian on ab initio NMR simulation of solids and force field development for amorphous materials, with a minor in Bioinformatics.In the late 90’s, he went to London for a research stay with Julian Gale at Imperial College. In 1999, shortly before BioSolveIT had been founded as a spin-off from Fraunhofer Gesellschaft (FhG) in 2001, he joined Prof.Thomas Lengauer's chem- and bioinformatics group in St. Augustin,Germany, where BioSolveIT's popular FlexX molecular docking programhad initially been developed.
 
Abstracts
 
 
Edmund Champness - Capturing and Applying Knowledge to Guide Compound Optimisation  Optibrium Ltd

Compound design requires a combination of knowledge and expertise from different perspectives: understanding of structure-activity relationships (SAR), based on data from previously studied compounds; expertise from diverse fields to define the multi-parameter optimisation (MPO) objectives of a project; and knowledge of synthetic strategies that may be applicable to create the next rounds of compounds for investigation. All of these forms of knowledge can be captured and applied computationally: Machine learning methods can generate quantitative structure-activity relationship (QSAR) models to predict the properties of novel, virtual compounds; MPO methods capture the desired property criteria for a successful compound for a specific project and rigorously prioritise ideas for consideration; and, optimisation strategies can be captured as structural transformations that reflect steps made in previous chemistry projects.

In this presentation, we will describe these methods and illustrate how they can be seamlessly combined to rigorously explore new, relevant compound ideas and prioritise those most likely to achieve a project objective. This approach can help to stimulate the search for new optimisation strategies and explore a much broader range of compounds than could be achieved based on a single chemist’s or even a project team’s experience. Example applications include the optimisation of compounds with a desired polypharmacology or selectivity profile and exploration of lead hopping strategies to overcome pharmacokinetic issues, while maintaining target potency.

 
Scott McDonald - ICH M7 – Best Practise in Assessing the Mutagenic Potential of Impurities using in silico Methodologies
 
Lhasa Limited

Expert assessment is a fundamental part of the assessment of the mutagenic potential of impurities under the ICH M7 guideline and it makes a specific provision for the application of expert knowledge to support or overturn an in silico prediction. Whilst expert assessment has been successfully applied in this context, there remains some uncertainty as to what constitutes expert analysis.

This presentation will outline a framework to more clearly understand the process of expert assessment under ICH M7 and the role that both in silico prediction methodologies and supporting data play. The use of such a framework can assist in dealing with relatively straightforward situations where the two required in silico methodologies agree to more complicated cases of model disagreement or “indeterminate” or “out-of-domain” predictions.

 
Marcus Gastreich - Three Key Factors for Success in Molecular Design: Fast, Visual, Easy BioSolveIT

Abou-Gharbia and Childers's 2014 J. Med Chem paper highlighted that the field of therapeutic drug discovery is rapidly changing. According to them, for example more than 1.300 mergers and acquisitions have led to enormous restructurings and widespread job losses. Additional factors such as block buster drug patent expirations, changing educational priorities, and a younger generation of researchers that hasve grown up with smartphones, have transformed the discipline. This new era exerts an enormous pressure on research and the necessity to adapt software. Such changes however, must not happen at the expense of the depth of understanding and quality of our tools.

Using an interplay of modern graphics card possibilities and novel algorithms — that exploit for example indexing, tree-based methods, or artificial intelligence (AI) methods — we can today support visual, instant hypothesis generation. Embedded in user interfaces that are intuitive and easy to learn, there is now a new generation of computational tools available to non-specialists that can cover selected tasks that previously had to be conducted by specially trained computational experts. In contrast to mere numbers, an appropriate visualization enhances the user's ability to accept or decline a computer-generated result.

Overall, this change in focus leads to much faster and more informed decisions, at the same time freeing time for the specialist computational researchers to pursue those problems that require the specialist's proficiency , more efficiently.

We will give examples from (a) hit finding where synthetically accessible compounds are mined from giant chemical spaces [2], through (b) indexed rescaffolding and fragment-based ligand design (FBLD, [3]), to (c) lead optimization cases where molecular design is visually assisted in a "gamified" software environment [4].

[1] Abou-Gharbia, M and Childers, WE J. Med. Chem. 57, 13, 5525-5553, 2014.
[2] www.biosolveit.de/REALSpaceNavigator, BioSolveIT, Germany, 2018.
[3] Maass et al., J. Chem. Inf. Model., 47, 390-399, 2007.
[4] www.biosolveit.de/SeeSAR, BioSolveIT, Germany, 2018.

 
 
Programme 
 
This free to attend symposium will run from approximately 09:00 to 17:00 on Thursday, 31 May 2018. Presentations will last approximately 30 minutes each.
 
Lunch will be provided along with refreshments during the breaks. An informal drinks reception will also be held at the end of the presentations to provide an opportunity for you to network
 
 
Location
 
 
The British Centre Shanghai, 17th Floor, Garden Square, 968 Beijing West Road
北京西路968号嘉地中心17楼上海英国中心