Synopsis
Big Data is the process of analysing high volume, high velocity data by advanced computational methods that produce actionable knowledge. This approach has thrown up surprising, often counter-intuitive results, in many industries, especially with respect to the public shopping habits. Other industries have achieved a clear bottom line benefit out of Big Data, but what can it do for chemistry?
This one day conference aims to give chemists an idea of what Big Data can do for chemistry and informatics by looking at what people are doing at the frontier of the subject. The conference will be of interest to chemistry directors, agrochemical, process and medicinal chemists, and academics.
Attendees
The conference will be of interest to all levels of chemists in pharmaceutical, agrochemical, process and materials industries. It will also appeal to academics in computational chemistry and informatics.
SCI Members attending this meeting are able to claim CPD points.
Programme
09.00 Registration and refreshments
09.50 Welcome and introduction
10.00 "Big dada" in medicinal chemistry - Prof Gisbert Scheneider, ETH Zurich, Switzerland
10.40 Why drug discovery needs artificial intelligence - Dr David Sheppard, Benevolent, UK
11.20 Refreshment break
11.40 Chemical similarity using multi-terabyte graph databases: 44 billion nodes and counting - Dr Roger Sayle, NextMove Software, UK
12.20 What should I make next? Augmented design - Dr Mike Bodkin, Evotec, UK
13.00 Lunch
14.00 Discovery of New Chemical Entities using Big data, Networks and AI approaches - Dr Sree Vadlamudi, e-Therapeutics, UK
14.40 Advancing the chemical sciences through big data - Dr Aileen Day, 九州影院, UK
15.20 Refreshment break
15.40 Scaling de novo design - from single target to disease portfolio - Dr Willem Van Hoorn, Exscientia Ltd, UK
16.20 What have we done? What could we do with Advanced Analytics in the 九州影院 Industry? - Dr Edward J. Griffen, MedChemica Ltd, UK
17.10 Closing remarks
Organising Committee
Al Dossetter, SCI/MedChemica
Pascal Savy, SCI/Charles River Laboratories
Exhibition
An exhibition will take place alongside the conference during refreshment breaks for companies and related organisations who may wish to exhibit. For further information and prices, please email conferences@soci.org. Spaces are limited and will be allocated on a first come, first served basis.
Delegate Fees
Early bird fees before Friday 1 September 2017
GB拢95 . . . . . . . . . . . . . . . . . SCI Member
GB拢30 . . . . . . . . . . . . . . . . . SCI Student Member
GB拢125 . . . . . . . . . . . . . . . ..Non-Member
Standard fees after Friday 1 September 2017
GB拢135 . . . . . . . . . . . . . . . . . SCI Member
GB拢45 . . . . . . . . . . . . . . . . . . SCI Student Member
GB拢175 . . . . . . . . . . . . . . . . . Non-Member
SCI Platinum Corporate Members receive 25% off the above rates
Big Data is the process of analysing high volume, high velocity data by advanced computational methods that produce actionable knowledge. This approach has thrown up surprising, often counter-intuitive results, in many industries, especially with respect to the public shopping habits. Other industries have achieved a clear bottom line benefit out of Big Data, but what can it do for chemistry?
This one day conference aims to give chemists an idea of what Big Data can do for chemistry and informatics by looking at what people are doing at the frontier of the subject. The conference will be of interest to chemistry directors, agrochemical, process and medicinal chemists, and academics.
Attendees
The conference will be of interest to all levels of chemists in pharmaceutical, agrochemical, process and materials industries. It will also appeal to academics in computational chemistry and informatics.
SCI Members attending this meeting are able to claim CPD points.
Programme
09.00 Registration and refreshments
09.50 Welcome and introduction
10.00 "Big dada" in medicinal chemistry - Prof Gisbert Scheneider, ETH Zurich, Switzerland
10.40 Why drug discovery needs artificial intelligence - Dr David Sheppard, Benevolent, UK
11.20 Refreshment break
11.40 Chemical similarity using multi-terabyte graph databases: 44 billion nodes and counting - Dr Roger Sayle, NextMove Software, UK
12.20 What should I make next? Augmented design - Dr Mike Bodkin, Evotec, UK
13.00 Lunch
14.00 Discovery of New Chemical Entities using Big data, Networks and AI approaches - Dr Sree Vadlamudi, e-Therapeutics, UK
14.40 Advancing the chemical sciences through big data - Dr Aileen Day, 九州影院, UK
15.20 Refreshment break
15.40 Scaling de novo design - from single target to disease portfolio - Dr Willem Van Hoorn, Exscientia Ltd, UK
16.20 What have we done? What could we do with Advanced Analytics in the 九州影院 Industry? - Dr Edward J. Griffen, MedChemica Ltd, UK
17.10 Closing remarks
Organising Committee
Al Dossetter, SCI/MedChemica
Pascal Savy, SCI/Charles River Laboratories
Exhibition
An exhibition will take place alongside the conference during refreshment breaks for companies and related organisations who may wish to exhibit. For further information and prices, please email conferences@soci.org. Spaces are limited and will be allocated on a first come, first served basis.
Delegate Fees
Early bird fees before Friday 1 September 2017
GB拢95 . . . . . . . . . . . . . . . . . SCI Member
GB拢30 . . . . . . . . . . . . . . . . . SCI Student Member
GB拢125 . . . . . . . . . . . . . . . ..Non-Member
Standard fees after Friday 1 September 2017
GB拢135 . . . . . . . . . . . . . . . . . SCI Member
GB拢45 . . . . . . . . . . . . . . . . . . SCI Student Member
GB拢175 . . . . . . . . . . . . . . . . . Non-Member
SCI Platinum Corporate Members receive 25% off the above rates
