activity
20132026
most citedSize and structure of the sequence space of repeat proteins

24 citations · 63 across the 19 of their papers we have counts for

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20 papers · 1 filter

q-bio.BM2026

Dark energy: the cost of function in protein evolution

Ezequiel A. Galpern, Federico Caamaño, Ignacio E. Sánchez +1

The evolutionary fate of proteins is driven by both folding stability and biological function, dual constraints that often conflict, creating frustration and imposing functional co…

q-bio.BM2025

Probing the Dark Energy in the Functional Protein Universe

Ezequiel A. Galpern, Carlos Bueno, Ignacio E. Sánchez +2

We show how to localize and quantify the functional evolutionary constraints on natural proteins. The method compares the perturbations caused by local sequence variants to the ene…

q-bio.BM2025

Predicting protein folding dynamics using sequence information

Ezequiel A. Galpern, Federico Caamaño, Diego U. Ferreiro

Natural protein sequences somehow encode the structural forms that these molecules adopt. Recent developments in structure-prediction are agnostic to the mechanisms by which protei…

q-bio.BM2025

Frustration, dynamics and catalysis

R. Gonzalo Parra, Diego U. Ferreiro

The controlled dissipation of chemical potentials is the fundamental way cells make a living. Enzyme-mediated catalysis allows the various transformations to proceed at biologicall…

q-bio.BM2025

Frustration In Physiology And Molecular Medicine

R. Gonzalo Parra, Elizabeth A. Komives, Peter G. Wolynes +1

Molecules provide the ultimate language in terms of which physiology and pathology must be understood. Myriads of proteins participate in elaborate networks of interactions and per…

q-bio.BM2024

Inferring protein folding mechanisms from natural sequence diversity

Ezequiel A. Galpern, Ernesto A. Roman, Diego U. Ferreiro

Protein sequences serve as a natural record of the evolutionary constraints that shape their functional structures. We show that it is possible to use only sequence information to…

q-bio.BM2024

Reassessing the Exon-Foldon correspondence using Frustration Analysis

Ezequiel A. Galpern, Hana Jaafari, Carlos Bueno +2

Protein folding and evolution are intimately linked phenomena. Here, we revisit the concept of exons as potential protein folding modules across 38 abundant and conserved protein f…

q-bio.BM2023

Solvent constraints for biopolymer folding and evolution in extraterrestrial environments

Ignacio E. Sánchez, Ezequiel A. Galpern, Diego U. Ferreiro

We propose that spontaneous folding and molecular evolution of biopolymers are two universal aspects that must concur for life to happen. These aspects are fundamentally related to…

q-bio.BM2022★ 1 cited

Molecular information theory meets protein folding

Ignacio E. Sánchez, Ezequiel A. Galpern, Martín M. Garibaldi +1

We propose an application of molecular information theory to analyze the folding of single domain proteins. We analyze results from various areas of protein science, such as sequen…

q-bio.BM2022★ 17 cited

From evolution to folding of repeat proteins

Ezequiel A. Galpern, Jacopo Marchi, Thierry Mora +2

Repeat proteins are made with tandem copies of similar amino acid stretches that fold into elongated architectures. Due to their symmetry, these proteins constitute excellent model…

q-bio.BM2020★ 3 cited

A structural model for the Coronavirus Nucleocapsid

Federico Coscio, Alejandro D. Nadra, Diego U. Ferreiro

We propose a mesoscale model structure for the coronavirus nucleocapsid, assembled from the high resolution structures of the basic building blocks of the N-protein, CryoEM imaging…

q-bio.BM2019★ 24 cited

Size and structure of the sequence space of repeat proteins

Jacopo Marchi, Ezequiel A. Galpern, Rocio Espada +3

The coding space of protein sequences is shaped by evolutionary constraints set by requirements of function and stability. We show that the coding space of a given protein family--…

q-bio.BM2018

Localization of Energetic Frustration in Proteins

A. Brenda Guzovsky, Nicholas P. Schafer, Peter G. Wolynes +1

We present a detailed heuristic method to quantify the degree of local energetic frustration manifested by protein molecules. Current applications are realized in computational exp…

q-bio.BM2018

On the Natural Structure of Amino Acid Patterns in Families of Protein Sequences

Pablo Turjanski, Diego U. Ferreiro

All known terrestrial proteins are coded as continuous strings of ~20 amino acids. The patterns formed by the repetitions of elements in groups of finite sequences describes the na…

q-bio.BM2017

Frustration, function and folding

Diego U. Ferreiro, Elizabeth A. Komives, Peter G. Wolynes

Natural protein molecules are exceptional polymers. Encoded in apparently random strings of amino-acids, these objects perform clear physical tasks that are rare to find by simple…

q-bio.BM2017

Inferring repeat protein energetics from evolutionary information

Rocío Espada, R. Gonzalo Parra, Thierry Mora +2

Natural protein sequences contain a record of their history. A common constraint in a given protein family is the ability to fold to specific structures, and it has been shown poss…

q-bio.BM2015

Protein Repeats from First Principles

Pablo Turjanski, R. Gonzalo Parra, Rocío Espada +2

Some natural proteins display recurrent structural patterns. Despite being highly similar at the tertiary structure level, repetitions within a single repeat protein can be extreme…

q-bio.BM2014

Capturing coevolutionary signals in repeat proteins

Rocío Espada, R. Gonzalo Parra, Thierry Mora +2

The analysis of correlations of amino acid occurrences in globular proteins has led to the development of statistical tools that can identify native contacts -- portions of the cha…

q-bio.BM2013★ 17 cited

Frustration in Biomolecules

Diego U. Ferreiro, Elizabeth A. Komives, Peter G. Wolynes

Biomolecules are the prime information processing elements of living matter. Most of these inanimate systems are polymers that compute their structures and dynamics using as input…

q-bio.BM2013

Detecting Repetitions and Periodicities in Proteins by Tiling the Structural Space

R. Gonzalo Parra, Rocío Espada, Ignacio E. Sánchez +2

The notion of energy landscapes provides conceptual tools for understanding the complexities of protein folding and function. Energy Landscape Theory indicates that it is much easi…