Non-globular proteins in the era of Machine Learning
COST Action CA21160
THE ACTION
ABOUT US
The ML4NGP COST Action aims to establish an interdisciplinary pan-European network to favour this interplay, fostering experimental frameworks designed to provide information to computational methods, and novel computational methods developed, trained and benchmarked with experimental data. The main aim and objective of the Action is to describe the function and properties of Non-globular Proteins (NGPs) by combining experimental data and novel machine learning (ML) approaches.
Scientific Background
Protein structure prediction has long been considered the “Holy Grail” of structural biology. The recent success of AlphaFold has ushered in a new era of highly accurate structure prediction, bringing to light the secrets hidden in the three-dimensional structures of globular proteins, increasing our understanding about their structural features and molecular function. However, a large proportion of the proteomes from all domains of life are rich in sequences that do not fold into regular structures, commonly known as non-globular proteins (NGPs). NGPs comprise intrinsically disordered regions, repeats, low-complexity sequences, aggregation-prone and phase-separating sequences, and are implicated in a range of age-related diseases.
Their heterogeneous structural states and low sequence complexity challenge current experimental structure determination techniques and machine learning (ML) methods for structure prediction, making the molecular understanding of their sequence-structure-dynamics-function relationship difficult. The recent improvements of ML approaches and advances in determining NGP structural ensembles call for a timely re-assessment of the interplay between experiments and computation.
Working groups
ML4NGP will enhance the primary experimental data generation (WG1), promote integrative structural biology approaches (WG2), benchmark the state-of-the-art ML methods (WG3) and improve the functional characterization of NGPs (WG4). The Action will support its scientific objectives through policies that sustain free knowledge exchange, inclusiveness and training of young researchers who will lead future innovations in this field.
Action Details
CSO Approval date
27/05/2022
Start date
25/10/2022
End date
24/10/2026
How to participate in the Action?
Inform the Action Chair of your interest (email).
Apply to join your Working Groups of interest.
Management Committee nominations are carried out through the COST National Contact Point.
Latest News
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22 Oct 2024Alexander Monzon Represents ML4NGP COST Action at AccelNet 6th Annual Meeting in Washington DC
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04 Jun 2024Successful Conclusion of the ML4NGP Meeting in Thessaloniki: A Hub of Cutting-Edge Research and Collaboration
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07 Mar 20242nd ML4NGP Training School Achieves Another Remarkable Success
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25 Jul 20231st ML4NGP meeting on Machine Learning and Non-Globular Proteins in Bratislava
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12 May 20231st ML4NGP Workshop on Structural Ensembles of Intrinsically Disordered Proteins