Julián Echave

ORCID: 0000-0003-0678-5593
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About
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Research Areas
  • Protein Structure and Dynamics
  • Advanced Chemical Physics Studies
  • Spectroscopy and Quantum Chemical Studies
  • Enzyme Structure and Function
  • Evolution and Genetic Dynamics
  • Microbial Metabolic Engineering and Bioproduction
  • RNA and protein synthesis mechanisms
  • Spectroscopy and Laser Applications
  • Genomics and Phylogenetic Studies
  • Quantum, superfluid, helium dynamics
  • Hemoglobin structure and function
  • Photoreceptor and optogenetics research
  • Cold Atom Physics and Bose-Einstein Condensates
  • Photosynthetic Processes and Mechanisms
  • Bioinformatics and Genomic Networks
  • Atmospheric Ozone and Climate
  • Photochemistry and Electron Transfer Studies
  • Quantum chaos and dynamical systems
  • Quantum optics and atomic interactions
  • Nonlinear Dynamics and Pattern Formation
  • Enzyme function and inhibition
  • Molecular spectroscopy and chirality
  • Quantum Mechanics and Non-Hermitian Physics
  • Gene expression and cancer classification
  • Light effects on plants

Universidad Nacional de San Martín
2024

National University of General San Martín
2012-2022

Consejo Nacional de Investigaciones Científicas y Técnicas
2004-2022

Centro Científico Tecnológico - San Juan
2017

Uni Research (Norway)
2012

University of Bergen
2012

Universidad Nacional de La Plata
2006-2010

Instituto de Investigaciones Fisicoquímicas Teóricas y Aplicadas
1987-2010

École Polytechnique Fédérale de Lausanne
2010

National University of Quilmes
1996-2006

10.1016/0009-2614(92)85330-d article EN Chemical Physics Letters 1992-03-01

Abstract Motivation: The function of a protein depends not only on its structure but also dynamics. This is at the basis large body experimental and theoretical work Further insight into dynamics–function relationship can be gained by studying evolutionary divergence motions. To investigate this, we need appropriate comparative dynamics methods. most used dynamical similarity score correlation between root mean square fluctuations (RMSF) aligned residues. Despite usefulness, RMSF in general...

10.1093/bioinformatics/bts445 article EN Bioinformatics 2012-07-12

Functional residues in proteins tend to be highly conserved over evolutionary time. However, what extent functional sites impose constraints on nearby or even more distant is not known. Here, we report pervasive conservation gradients toward catalytic a dataset of 524 distinct enzymes: decreases approximately linearly with increasing distance the nearest residue protein structure. This trend encompasses, average, 80% any enzyme, and it independent known structural evolution such as packing...

10.1371/journal.pbio.1002452 article EN cc-by PLoS Biology 2016-05-03

Protein sequences evolve under selection pressures imposed by functional and biophysical requirements, resulting in site-dependent rates of amino acid substitution. Relative solvent accessibility (RSA) local packing density (LPD) have emerged as the best candidates to quantify structural constraint. Recent research assumes that RSA is main determinant sequence divergence. However, it not yet clear which predictor substitution rates. To address this issue, we compared LPD with site-specific...

10.1093/molbev/mst178 article EN Molecular Biology and Evolution 2013-10-08

Protein sites evolve at different rates due to functional and biophysical constraints. It is usually considered that the main structural determinant of a site's rate evolution its Relative Solvent Accessibility (RSA). However, recent comparative study has shown Local Packing Density (LPD). LPD related with dynamical flexibility, which also been correlate sequence variability. Our purpose investigate mechanism connects evolution. We consider two models: an empirical Flexibility Model...

10.1186/1471-2148-14-78 article EN cc-by BMC Evolutionary Biology 2014-04-09

An exact quantum mechanical theory is developed to treat four-atom reactions of the type AB+CD↔(BCD+A, ACD+B), where atoms are constrained move in a plane. The makes use an unbiased set hyperspherical coordinates. A method proposed for implementing that exploits potential optimized discrete variable representation. Application made calculation rovibrational state-to-state reaction probabilities H2+OH↔H2O+H, which length OH spectator bond held fixed. results show rotating approximation, H2...

10.1063/1.466954 article EN The Journal of Chemical Physics 1994-01-01

Evolutionary-rate variation among sites within proteins depends on functional and biophysical properties that constrain protein evolution.It is generally accepted must be able to fold stably in order function.However, the relationship between stability constraints among-sites rate not well understood.Here, we present a model links thermodynamic changes due mutations at (ΔΔG) which accumulate those over evolutionary time.We find such "stability model" performs well, displaying correlations...

10.1088/1478-3975/12/2/025002 article EN Physical Biology 2015-03-19

In protein evolution, due to functional and biophysical constraints, the rates of amino acid substitution differ from site site. Among best predictors site-specific are solvent accessibility packing density. The density measure that correlates with is weighted contact number (WCN), sum inverse square distances between a site's C α other sites. According mechanistic stress model proposed recently, determined by because mutating packed sites stresses destabilizes protein's active conformation....

10.7717/peerj.911 article EN cc-by PeerJ 2015-04-23

An arrangement channel hyperspherical coordinate method for performing quantum scattering calculations on four-atom reactions is formulated. This treats the vibrational and rotational states in different channels by a close-coupling expansion nonorthogonal functions. The applied to calculation of state-to-state probabilities OH+H2→H2O+H reaction. Good agreement found with cumulative state-selected reaction previously calculated other methods. major advantage this general approach that whole...

10.1063/1.475189 article EN The Journal of Chemical Physics 1997-12-01

Six-dimensional (6D) quantum scattering calculations of reaction probabilities are reported for the

10.1039/a908080e article EN Physical Chemistry Chemical Physics 2000-01-01

The aim of this work was to study the relationship between structure conservation and sequence divergence in protein evolution. To end, we developed a model structurally constrained evolution (SCPE) which trial sequences, generated by random mutations at gene level, are selected against departure from reference three-dimensional structure. Since mutational level SCPE is completely unbiased, any emergent pattern will be due exclusively structural constraints. In first report, it shown that...

10.1093/oxfordjournals.molbev.a003857 article EN Molecular Biology and Evolution 2001-05-01

Functional and biophysical constraints result in site-dependent patterns of protein sequence variability. It is commonly assumed that the key structural determinant site-specific rates evolution Relative Solvent Accessibility (RSA). However, a recent study found amino acid substitution correlate better with two Local Packing Density (LPD) measures, Weighted Contact Number (WCN) (CN), than RSA. This work aims at more thorough assessment. To this end, addition to rates, we considered four...

10.1155/2014/572409 article EN cc-by BioMed Research International 2014-01-01

10.1006/jtbi.2000.2038 article EN Journal of Theoretical Biology 2000-06-01

It was recently found that the lowest-energy collective normal modes dominate evolutionary divergence of protein structures. This attributed to a presumed functional importance such motions, i.e., natural selection. In contrast this selectionist explanation, we proposed observed behavior could be just expected physical response proteins random mutations. proposal based on success linearly forced elastic network model (LFENM) mutational effects structure account for pattern structural...

10.1002/prot.22553 article EN Proteins Structure Function and Bioinformatics 2009-07-21

The rate of evolution varies among sites within proteins. In enzymes, two gradients are observed: decreases with increasing local packing and it increases distance from catalytic residues. rate-packing gradient would be mainly due to stability constraints is well reproduced by biophysical models selection for protein stability. However, unlikely account the rate-distance gradient. Here, explore mechanistic underpinnings observed in I propose a stability-activity model enzyme evolution, MSA....

10.1093/molbev/msy244 article EN Molecular Biology and Evolution 2018-12-20
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