DiscoverFuture of Drug DiscoveryKonrad Krawczyk - Natural Antibody (Antibody Datasets and ML) (FODD #3)
Konrad Krawczyk - Natural Antibody (Antibody Datasets and ML) (FODD #3)

Konrad Krawczyk - Natural Antibody (Antibody Datasets and ML) (FODD #3)

Update: 2022-03-06
Share

Description

Future of Drug Discovery Episode #3



In this session, Murat talks with Konrad Krawczyk, Assistant Professor SDU and Founder of NaturalAntibody


We will be covering Mr Natural Antibody's views on developing and using bioinformatics tools to analyse and discover biologics.



Other topics in this episode:


- Changing role of bioinformatics from assisting to being the main driver in biologics discovery

- 99% of the job is to get quality data, 1% is computational methods

- Collecting data from Patents, Scientific Publications, NGS, Therapeutics from FDA

- Developing models for binding prediction and biophysical properties

- Predictions of binding and developability, database, tool access, and expertise

- Interpretability of ML models



Antiverse - Engineering the future of drug discovery - https://www.antiverse.io/

Comments 
In Channel
00:00
00:00
x

0.5x

0.8x

1.0x

1.25x

1.5x

2.0x

3.0x

Sleep Timer

Off

End of Episode

5 Minutes

10 Minutes

15 Minutes

30 Minutes

45 Minutes

60 Minutes

120 Minutes

Konrad Krawczyk - Natural Antibody (Antibody Datasets and ML) (FODD #3)

Konrad Krawczyk - Natural Antibody (Antibody Datasets and ML) (FODD #3)

Murat Tunaboylu