Ferran Feixas

Dr. Ferran Feixas


Research Focus & Metrics

Academic Career Length

20Years (2007-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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10 April 2015 in Chemical Society Reviews
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FFFerran Feixas
Ferran Feixas
EMEduard Matito
Eduard Matito
Jordi PoaterJordi Poater
Jordi Poater
Miquel SolaMiquel Sola
Miquel Sola
Aromaticity cannot be measured directly by any physical or chemical experiment because it is not a well-defined magnitude. Its quantification is done indirectly from the measure of different properties that are usually found in aromatic compounds such as bond length equalisation, energetic stabilisation, and particular magnetic behaviour associated with induced ring currents. These properties have been used to set up the myriad of structural-, energetic-, and magnetic-based indices of aromaticity known to date. The cyclic delocalisation of mobile electrons in two or three dimensions is probably one of the key aspects that characterise aromatic compounds. However, it has not been until the last decade that electron delocalisation measures have been widely employed to quantify aromaticity. Some of these new indicators of aromaticity such as the PDI, FLU, ING, and INB were defined in our group. In this paper, we review the different existing descriptors of aromaticity that are based on electron delocalisation properties, we compare their performance with indices based on other properties, and we summarise a number of applications of electronic-based indices for the analysis of aromaticity in interesting chemical problems.

27 May 2008 in Journal of Computational Chemistry
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FFFerran Feixas
Ferran Feixas
EMEduard Matito
Eduard Matito
Jordi PoaterJordi Poater
Jordi Poater
Miquel SolaMiquel Sola
Miquel Sola

27 June 2019 in Nature Communications
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XAXavier Arqué
Xavier Arqué
ARAdrian Romero-Rivera
Adrian Romero-Rivera
FFFerran Feixas
Ferran Feixas
TPTania Patiño
Tania Patiño
Sílvia OsunaSílvia Osuna
Sílvia Osuna
SSSamuel Sánchez
Samuel Sánchez
Bio-catalytic micro- and nanomotors self-propel by the enzymatic conversion of substrates into products. Despite the advances in the field, the fundamental aspects underlying enzyme-powered self-propulsion have rarely been studied. In this work, we select four enzymes (urease, acetylcholinesterase, glucose oxidase, and aldolase) to be attached on silica microcapsules and study how their turnover number and conformational dynamics affect the self-propulsion, combining both an experimental and molecular dynamics simulations approach. Urease and acetylcholinesterase, the enzymes with higher catalytic rates, are the only enzymes capable of producing active motion. Molecular dynamics simulations reveal that urease and acetylcholinesterase display the highest degree of flexibility near the active site, which could play a role on the catalytic process. We experimentally assess this hypothesis for urease micromotors through competitive inhibition (acetohydroxamic acid) and increasing enzyme rigidity (β-mercaptoethanol). We conclude that the conformational changes are a precondition of urease catalysis, which is essential to generate self-propulsion.

12 June 2015 in Journal of Computational Chemistry
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YMYinglong Miao
Yinglong Miao
FFFerran Feixas
Ferran Feixas
CEChangsun Eun
Changsun Eun
JMJ. Andrew McCammon
J. Andrew McCammon

1 February 2014 in Biophysical Chemistry
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FFFerran Feixas
Ferran Feixas
SLSteffen Lindert
Steffen Lindert
WSWilliam Sinko
William Sinko
JMJ. Andrew McCammon
J. Andrew McCammon

23 August 2010 in Journal of Chemical Theory and Computation
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Journal Article
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FFFerran Feixas
Ferran Feixas
EMEduard Matito
Eduard Matito
MDMiquel Duran
Miquel Duran
Miquel SolaMiquel Sola
Miquel Sola
BSBernard Silvi
Bernard Silvi