a16z Bio + Health #6: AI for Biologics With Mark DePristo and Peyton Greenside

1

Introduction

00:00 • 5min

2

Big Hat - How Do We Make Better?

05:29 • 2min

3

The Key Driver of Biologics?

07:48 • 3min

4

Monoconal Antibody Design Challenge

10:33 • 3min

5

Antibody Engineering

13:05 • 4min

6

Do You Think Analosy Is Very Good?

17:01 • 2min

7

How to Find a Place to Live in Multi Dimensional Space?

19:26 • 3min

8

Isrit, You're Describing the Intrinsic Trade Offs

22:10 • 3min

9

The Parashooting Analyse

25:30 • 2min

10

The Multi-Matrix Relationship in Drug Development

27:27 • 3min

11

The Challenge of Building a Culture in Machine Learning

30:33 • 3min

12

Latent Space, a Low Dimensional Representation of a Molecular

33:08 • 4min

13

Optimization of Antibodies Using a Modular Platform

36:44 • 4min

14

Is It a Monoconal Antibody?

40:31 • 4min

15

Cancer Therapeutics - The Challenge Is Not to Discover New Targets

44:48 • 5min

16

The Big Hat Operator

49:58 • 1min