Patrícia F. N. Faísca

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Universidade de Aveiro
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Recent Grants

Grant: Close

Twinning for excellence in biophysics of protein interactions and self-assembly

Open Date: 2022-10-01

Close Date: 2025-09-30

Grant: Close

European Topology Interdisciplinary Action

Open Date: 2018-10-18

Close Date:

Grant: Close

The Physical Basis of Disease: The case of dialysis related amyloidosis

Open Date: 2018-10-01

Close Date: 2021-03-01

Grant: Close

Biological physics studies based on Force Feedback Microscopy

Open Date: 2014-02-03

Close Date: 2015-02-02

Grant: Close

Cystic fibrosis: Microscopic insights into the folding and gating mechanisms of F508del-CFTR through Molecular Dynamics simulations

Open Date: 2014-01-01

Close Date: 2014-12-31

Articles (7)

Determining the role of non-native interactions in folding dynamics, kinetics, and mechanisms is a classic problem in protein folding. More recently, this question has witnessed a renewed interest in light of the hypothesis that knotted proteins require the assistance of non-native interactions to fold efficiently. Here, we conduct extensive equilibrium and kinetic Monte Carlo simulations of a simple off-lattice C-alpha model to explore the role of non-native interactions in the thermodynamics and kinetics of three proteins embedding a trefoil knot in their native structure. We find that equilibrium knotted conformations are stabilized by non-native interactions that are non-local, and proximal to native ones, thus enhancing them. Additionally, non-native interactions increase the knotting frequency at high temperatures, and in partially folded conformations below the transition temperatures. Although non-native interactions clearly enhance the efficiency of transition from an unfolded conformation to a partially folded knotted one, they are not required to efficiently fold a knotted protein. Indeed, a native-centric interaction potential drives the most efficient folding transition, provided that the simulation temperature is well below the transition temperature of the considered model system.

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2023

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2023

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2022

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2021

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2021

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2020

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2020

Collaborators (3)

Antonio Rey

Full Professor

Universidad Complutense de Madrid

SPAIN
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Miguel Machuqueiro

Universidade de Aveiro

PORTUGAL
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Ana Nunes

Professor Associado com Agregação

Universidade de Aveiro

PORTUGAL
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