DeepMind Increases The Accuracy Of AlphaFold, With A New Release

Deepmind says that this method will enable biologists to further accelerate the recent progress in structural bioinformatics.

Alphabet-owned research firm DeepMind has introduced AlphaFold-Multimer, a model that can predict the structure of multi-chain protein complexes. The new model significantly increases the accuracy of predicted multimeric interfaces over input-adapted single-chain AlphaFold while maintaining high intra-chain accuracy

A majority of well-structured single protein chains could be easily predicted using the previous AlphaFold model, but the prediction of multi-chain protein complexes remained a challenge in many cases, which the AlphaFold-Multimer addresses readily. 

AlphaFold-Multimer analyzes multiple chains during both training and inference, with native support for multi-chain featurization and symmetry handling. Multiple changes to the previous AlphaFold system were made to adapt it to training on protein complex. The AlphaFold-Multimer introduces a new way of selecting subsets of residues for training and makes various small adjustments to the structure losses and the model architecture.

THE BELAMY

Sign up for your weekly dose of what's up in emerging technology.

AlphaFold-Multimer was tested on a benchmark dataset of 17 heterodimer proteins without templates, where it achieved at least medium accuracy on 14 targets and high accuracy on 6 targets, compared to 9 targets of at least medium accuracy and 4 of high accuracy for the previous state of the art system. 

The new model shows that the confidence metrics provided by the model correlate well with the true accuracy, something that is vital for the useability of a structure prediction model.

Deepmind says that this method will enable biologists to further accelerate the recent progress in structural bioinformatics and act as a stepping stone towards executing on more complex folds, such as RNA & DNA molecules.

More Great AIM Stories

Victor Dey
Victor is an aspiring Data Scientist & is a Master of Science in Data Science & Big Data Analytics. He is a Researcher, a Data Science Influencer and also an Ex-University Football Player. A keen learner of new developments in Data Science and Artificial Intelligence, he is committed to growing the Data Science community.

Our Upcoming Events

Conference, in-person (Bangalore)
Machine Learning Developers Summit (MLDS) 2023
19-20th Jan, 2023

Conference, in-person (Bangalore)
Rising 2023 | Women in Tech Conference
16-17th Mar, 2023

Conference, in-person (Bangalore)
Data Engineering Summit (DES) 2023
27-28th Apr, 2023

Conference, in-person (Bangalore)
MachineCon 2023
23rd Jun, 2023

Conference, in-person (Bangalore)
Cypher 2023
20-22nd Sep, 2023

3 Ways to Join our Community

Whatsapp group

Discover special offers, top stories, upcoming events, and more.

Discord Server

Stay Connected with a larger ecosystem of data science and ML Professionals

Subscribe to our newsletter

Get the latest updates from AIM