Department of Chemistry course timetable
May 2021
| Mon 31 |
These optional drop-in sessions provide an opportunity for new chemistry graduate students who have completed the compulsory online IS4 Research Data Management and IS3 Information Research Skills courses to ask the trainer any questions they have about the content, or about how they can apply what they have learnt, in more detail.
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These optional drop-in sessions provide an opportunity for new chemistry graduate students who have completed the compulsory online IS4 Research Data Management and IS3 Information Research Skills courses to ask the trainer any questions they have about the content, or about how they can apply what they have learnt, in more detail.
|
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These optional drop-in sessions provide an opportunity for new chemistry graduate students who have completed the compulsory online IS4 Research Data Management and IS3 Information Research Skills courses to ask the trainer any questions they have about the content, or about how they can apply what they have learnt, in more detail.
|
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These optional drop-in sessions provide an opportunity for new chemistry graduate students who have completed the compulsory online IS4 Research Data Management and IS3 Information Research Skills courses to ask the trainer any questions they have about the content, or about how they can apply what they have learnt, in more detail.
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June 2021
| Tue 1 |
Chemistry: ST8 CDT Drug Discovery
Finished
There are 8 sessions in total DD1 to DD8 starting from 18th May and ending 10th June. The sessions are listed below: DD1: Introduction to Drug Discovery and path to clinic Bobby Glen (UoC) 18th May, 10:00 - 12:00 SESSION CANCELLED DD2: Pharmacology + Biochemical and Biophysical methods Chris Stubbs (AZ) 20th May, 10:00 - 12:00 DD3: Structural Biology Gavin Collie (AZ) 25th May, 10:00 - 12:00 DD4: Hit generation methods and tactics Ben Whitehurst (AZ) 27th May, 10:00 - 12:00 DD5: Potency & thermodynamics Steve Atkinson (AZ) 1st June, 10:00 - 12:00 DD6: Computational methods (Session 1) - Modelling/MD/potency prediction/ML/AI Kathryn Giblin (AZ) 3th June, 10:00 - 12:00 DD7: Computational methods (Session 2) - Modelling/MD/potency prediction/ML/AI Bobby Glen (UoC) 8th June, 10:00 - 12:00 DD8: Impact of structures and physchem on DMPK/safety Jen Nelson (AZ) 10th June, 10:00 - 12:00 |
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In these sessions, Dr. Mukund S. Chorghade will discuss the pivotal role played by Process Chemistry / Route Selection in the progress of a chemical entity from conception to commercialization. |
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| Thu 3 |
Chemistry: ST8 CDT Drug Discovery
Finished
There are 8 sessions in total DD1 to DD8 starting from 18th May and ending 10th June. The sessions are listed below: DD1: Introduction to Drug Discovery and path to clinic Bobby Glen (UoC) 18th May, 10:00 - 12:00 SESSION CANCELLED DD2: Pharmacology + Biochemical and Biophysical methods Chris Stubbs (AZ) 20th May, 10:00 - 12:00 DD3: Structural Biology Gavin Collie (AZ) 25th May, 10:00 - 12:00 DD4: Hit generation methods and tactics Ben Whitehurst (AZ) 27th May, 10:00 - 12:00 DD5: Potency & thermodynamics Steve Atkinson (AZ) 1st June, 10:00 - 12:00 DD6: Computational methods (Session 1) - Modelling/MD/potency prediction/ML/AI Kathryn Giblin (AZ) 3th June, 10:00 - 12:00 DD7: Computational methods (Session 2) - Modelling/MD/potency prediction/ML/AI Bobby Glen (UoC) 8th June, 10:00 - 12:00 DD8: Impact of structures and physchem on DMPK/safety Jen Nelson (AZ) 10th June, 10:00 - 12:00 |
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Science is a strikingly successful and powerful feature of contemporary human cultures: it has transformed lives, enabled great technological feats and often revealed the world to be a much stranger place than appearances suggest. But what is science, really, and how and why has it been so successful? |
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| Fri 4 |
In these sessions, Dr. Mukund S. Chorghade will discuss the pivotal role played by Process Chemistry / Route Selection in the progress of a chemical entity from conception to commercialization. |
| Tue 8 |
Chemistry: ST8 CDT Drug Discovery
Finished
There are 8 sessions in total DD1 to DD8 starting from 18th May and ending 10th June. The sessions are listed below: DD1: Introduction to Drug Discovery and path to clinic Bobby Glen (UoC) 18th May, 10:00 - 12:00 SESSION CANCELLED DD2: Pharmacology + Biochemical and Biophysical methods Chris Stubbs (AZ) 20th May, 10:00 - 12:00 DD3: Structural Biology Gavin Collie (AZ) 25th May, 10:00 - 12:00 DD4: Hit generation methods and tactics Ben Whitehurst (AZ) 27th May, 10:00 - 12:00 DD5: Potency & thermodynamics Steve Atkinson (AZ) 1st June, 10:00 - 12:00 DD6: Computational methods (Session 1) - Modelling/MD/potency prediction/ML/AI Kathryn Giblin (AZ) 3th June, 10:00 - 12:00 DD7: Computational methods (Session 2) - Modelling/MD/potency prediction/ML/AI Bobby Glen (UoC) 8th June, 10:00 - 12:00 DD8: Impact of structures and physchem on DMPK/safety Jen Nelson (AZ) 10th June, 10:00 - 12:00 |
| Wed 9 |
The University of Cambridge has a well-deserved reputation for spinning out high technology startups from its world-class science research and innovation programs. It is the home of startups on the leading edge of medical technology, biotech, semiconductors, and quantum computing, among many other scientific frontiers. Six lectures by Mukund S. Chorghade and James Skinner will take the aspiring entrepreneur through the strategic considerations for starting a company. |
| Thu 10 |
Chemistry: ST8 CDT Drug Discovery
Finished
There are 8 sessions in total DD1 to DD8 starting from 18th May and ending 10th June. The sessions are listed below: DD1: Introduction to Drug Discovery and path to clinic Bobby Glen (UoC) 18th May, 10:00 - 12:00 SESSION CANCELLED DD2: Pharmacology + Biochemical and Biophysical methods Chris Stubbs (AZ) 20th May, 10:00 - 12:00 DD3: Structural Biology Gavin Collie (AZ) 25th May, 10:00 - 12:00 DD4: Hit generation methods and tactics Ben Whitehurst (AZ) 27th May, 10:00 - 12:00 DD5: Potency & thermodynamics Steve Atkinson (AZ) 1st June, 10:00 - 12:00 DD6: Computational methods (Session 1) - Modelling/MD/potency prediction/ML/AI Kathryn Giblin (AZ) 3th June, 10:00 - 12:00 DD7: Computational methods (Session 2) - Modelling/MD/potency prediction/ML/AI Bobby Glen (UoC) 8th June, 10:00 - 12:00 DD8: Impact of structures and physchem on DMPK/safety Jen Nelson (AZ) 10th June, 10:00 - 12:00 |
| Fri 11 |
The University of Cambridge has a well-deserved reputation for spinning out high technology startups from its world-class science research and innovation programs. It is the home of startups on the leading edge of medical technology, biotech, semiconductors, and quantum computing, among many other scientific frontiers. Six lectures by Mukund S. Chorghade and James Skinner will take the aspiring entrepreneur through the strategic considerations for starting a company. |
| Tue 15 |
The University of Cambridge has a well-deserved reputation for spinning out high technology startups from its world-class science research and innovation programs. It is the home of startups on the leading edge of medical technology, biotech, semiconductors, and quantum computing, among many other scientific frontiers. Six lectures by Mukund S. Chorghade and James Skinner will take the aspiring entrepreneur through the strategic considerations for starting a company. |
| Fri 18 |
The University of Cambridge has a well-deserved reputation for spinning out high technology startups from its world-class science research and innovation programs. It is the home of startups on the leading edge of medical technology, biotech, semiconductors, and quantum computing, among many other scientific frontiers. Six lectures by Mukund S. Chorghade and James Skinner will take the aspiring entrepreneur through the strategic considerations for starting a company. |
| Tue 22 |
The University of Cambridge has a well-deserved reputation for spinning out high technology startups from its world-class science research and innovation programs. It is the home of startups on the leading edge of medical technology, biotech, semiconductors, and quantum computing, among many other scientific frontiers. Six lectures by Mukund S. Chorghade and James Skinner will take the aspiring entrepreneur through the strategic considerations for starting a company. |
| Fri 25 |
The University of Cambridge has a well-deserved reputation for spinning out high technology startups from its world-class science research and innovation programs. It is the home of startups on the leading edge of medical technology, biotech, semiconductors, and quantum computing, among many other scientific frontiers. Six lectures by Mukund S. Chorghade and James Skinner will take the aspiring entrepreneur through the strategic considerations for starting a company. |
February 2022
| Tue 1 |
Course delivered by Lucy Colwell via Zoom. You will receive Zoom links closer to the event |
| Tue 8 |
ST4 Computational Parameterization
Finished
Course delivered by Lucy Colwell via Zoom You will receive Zoom links closer to the event |
| Thu 10 |
Lecture by Professor Matthew Gaunt on High Throughput Synthesis In person in the Wolfson Lecture Theatre In this course, we will track the evolution of high throughput synthesis in organic chemistry. Emphasis will be placed on the technology advances that have enabled the progression of specific chemistries and also how the future looks with respect to the advent of data-driven synthesis |
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ST4 Computational Parameterization
Finished
Course delivered by Lucy Colwell via Zoom You will receive Zoom links closer to the event |
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| Fri 11 |
Course delivered by Lucy Colwell via Zoom. You will receive Zoom links closer to the event |
March 2023
| Thu 2 |
The course will be delivered by Lucy Colwell This course will be delivered in person or via Zoom. You will be informed closer to the date This course will focus on recent progress in the application of kernel-based methods, Random Forests and Deep Neural Networks to modelling in chemistry. The material will build on the content of the core Informatics course and introduce new descriptors, advanced modelling techniques and example applications drawn from the current literature. Lectures will be interactive, with students working through computational exercises during class sessions. |
| Fri 3 |
The course will be delivered by Lucy Colwell This course will be delivered in person or via Zoom. You will be informed closer to the date This course will focus on recent progress in the application of kernel-based methods, Random Forests and Deep Neural Networks to modelling in chemistry. The material will build on the content of the core Informatics course and introduce new descriptors, advanced modelling techniques and example applications drawn from the current literature. Lectures will be interactive, with students working through computational exercises during class sessions. |
| Wed 8 |
The course will be delivered by Lucy Colwell This course will be delivered in person or via Zoom. You will be informed closer to the date An applied introduction to probabilistic modelling, machine learning and artificial intelligence-based approaches for students with little or no background in theory and modelling. The course will be taught through a series of case studies from the current literature in which modelling approaches have been applied to large datasets from chemistry and biochemistry. Data and code will be made available to students and discussed in class. Students will become familiar with python based tools that implement the models though practical sessions and group based assignments. |