Concept

Macromolecular docking

Related publications (37)

Predicting protein interactions using geometric deep learning on protein surfaces

In the domain of computational structural biology, predicting protein interactions based on molecular structure remains a pivotal challenge. This thesis delves into this challenge through a series of interconnected studies.The first chapter introduces the ...

EPFL2024

A Geometric Transformer for Structural Biology: Development and Applications of the Protein Structure Transformer

Lucien Fabrice Krapp

Proteins, the central building blocks of life, play pivotal roles in nearly every biological function. To do so, these macromolecular structures interact with their surrounding environment in complex ways, leading to diverse functional behaviors. The predi ...

EPFL2023

Combining phylogeny and coevolution improves the inference of interaction partners among paralogous proteins

Anne-Florence Raphaëlle Bitbol

Author summaryWhen two protein families interact, their sequences feature statistical dependencies. First, interacting proteins tend to share a common evolutionary history. Second, maintaining structure and interactions through the course of evolution yiel ...

PUBLIC LIBRARY SCIENCE2023

Discriminating physiological from non‐physiological interfaces in structures of protein complexes: A community‐wide study

Bruno Emanuel Ferreira De Sousa Correia, Anthony Marchand, Emmanuel Doram Levy, Xiao Wang

Reliably scoring and ranking candidate models of protein complexes and assigning their oligomeric state from the structure of the crystal lattice represent outstanding challenges. A community-wide effort was launched to tackle these challenges. The latest ...

2023

Prediction of post-stroke motor recovery benefits from measures of sub-acute widespread network damages

Dimitri Nestor Alice Van De Ville, Maria Giulia Preti, Elvira Pirondini, Cyprien Alban Félicien Rivier

Rivier et al. report that global measures of brain connectivity estimated by introducing virtual lesions in healthy structural connectomes significantly increase the accuracy of motor recovery prediction in stroke patients when added to focal and clinical ...

OXFORD UNIV PRESS2023

Modeling Immunity with Rosetta: Methods for Antibody and Antigen Design

Bruno Emanuel Ferreira De Sousa Correia, Jaume Bonet Martinez

Structure-based antibody and antigen design has advanced greatly in recent years, due not only to the increasing availability of experimentally determined structures but also to improved computational methods for both prediction and design. Constant improv ...

AMER CHEMICAL SOC2021

New Measurement Method in Drug Sensing by Direct Total-Charge Detection in Voltammetry

Sandro Carrara, Danilo Demarchi, Simone Aiassa, José David González Martínez

Electrochemical biosensors are promoting point-of-care and wearable instrumentation due to their high versatility in measuring human metabolites. There is a considerable number of biological compounds that can be detected and measured through voltammetry b ...

IEEE2020

Structural and functional characterisation of the KRAB-domain associated protein 1

Giulia Fonti

KAP1 (KRAB-domain associated protein 1) plays a fundamental role in regulating gene expression in mammalian cells by recruiting different transcription factors and altering the chromatin state. In doing so, KAP1 acts both as a platform for macromolecular i ...

EPFL2019

KAP1 is an antiparallel dimer with a functional asymmetry

Didier Trono, Matteo Dal Peraro, Beat Fierz, Davide Demurtas, Maria Josefina Marcaida Lopez, Louise Catherine Bryan, Giulia Fonti, Pierre-Yves Joseph Laurent Helleboid, Alexandra Styliani Kalantzi

KAP1 (KRAB domain-associated protein 1) plays a fundamental role in regulating gene expression in mammalian cells by recruiting different transcription factors and altering the chromatin state. In doing so, KAP1 acts both as a platform for macromolecular i ...

Life Science Alliance, LLC2019

Constrained optimization applied to multiscale integrative modeling

Giorgio Elikem Tamo

Multiscale integrative modeling stands at the intersection between experimental and computational techniques to predict the atomistic structures of important macromolecules. In the integrative modeling process, the experimental information is often integra ...

EPFL2018

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