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Fiche de : Dr. Adrien NICOLAÏ

Département :
Nanosciences


Fonction :

Maître de conférences / Assistant professor



Localisation :

Bâtiment MIRANDE – Aile D bureau 316

Tél. : 03-80-39-60-93
E-mail : adrien.nicolai@u-bourgogne.fr

CV:

I studied Physics at Université de Bourgogne (uB), where I got a master degree in Nanotechnology and Nanobiosciences in 2009. I earned a PhD from uB in 2012 under the supervision of Professor Patrick Senet. I was postdoctoral research associate at Renselaer Poytechnic Institute (NY, USA) in 2013-2014, joining the group of Professor Vincent Meunier and at Ecole Polytechnique Federale de Lausanne (Switzerland) in the group of Professor Clémence Corminboeuf (LCMD) until 2015 when I joined uB as an assistant professor.

 

Research interests:

My domains of expertise are condensed matter physics, physics and chemistry of nanomaterials and biophysics. My research uses computation and numerical simulations to examine and describe mechanisms of interactions between Nanomaterials and biomolecules (proteins) at the atomic level. I am particularly interested in the characterization and detection of single biomolecules using devices based on Nanomaterials (spectroscopic and sequencing techniques).

 

  • Construction de novo d’une enzyme synthétique permettant d’éliminer des polluants alimentaires et non alimentaires (SYNTHEZYME). PhD thesis of Nicolas Petiot (started Oct. 1st 2023).

https://www.theses.fr/s367768

  • Functional modes and thermal B-factor predictions for multigenic structural analysis predicted from AlphaFold. M2 internship of Nicolas Petiot (2023).
  • Deciphering the free-energy landscape of GST enzymes induced by ligand binding. M1 internship of Nicolas Petiot (2022).
  • Nano-SEquenceur de Protéines assisté par Intelligence Artificielle (SEPIA). PhD thesis of Andreina Urquiola Hernandez (started Oct. 1st, 2021).

https://www.theses.fr/s302012

  • Nanopore Sensing of Single Biomolecule Assisted by Machine Learning. M2 internship of Andreina Urquiola Hernandez (2021).
  • Design and computer simulations of 2D MeX2 (Me = transition metal) nanopores for DNA and protein detection and analysis. PhD thesis of Maria Daniela Barrios Pérez (defended Jan. 7th, 2020).

https://www.theses.fr/2020UBFCK003

  • Identifying patterns in Time series Data from Nanopore sensing of single-biomolecules experiments. M1 internship of Aniket Rath (2019).
  • Simulation des spectres infrarouge basses fréquences (<300 GHz) à haute résolution de la conalbumine. Rôle de l’anharmonicité et comparaison avec les données expérimentales. M1+M2 internships of Mohamed Ahmed Khaireh (2017-2018).
  • Translocation of biomolecules through solid-state nanopores. M2 internship of Daniela Barrios Pérez (2016).

2024:

  •  Nanofluidics Conference (Lenzerheide, Jan. 21-24th 2024): Single-layer MoS2 Nanopores for Coarse-Grained Sequencing of Proteins

2023:

  • Single-Molecule Sensors and nanoSystems International Conference 2023 (Barcelona, Nov. 23rd 2023): Single-layer MoS2 Nanopores for Coarse-Grained Sequencing of Proteins

  • Black Forest Nanopore Meeting (Nov. 6-9th 2023): Single-layer MoS2 Nanopores for Coarse-Grained Sequencing of Proteins
  • 1ère réunion de l’axe transverse « Expériences numériques, modélisations et intelligence artificielle » (Dijon, July 13th 2023): SEPIA : Nano-SEquenceur de Protéines assisté par Intelligence Artificielle
  • Rencontre des Chimistes Théoriciens du Grand-Est (Reims, May 30-31st 2023): Functional modes and thermal B-factor predictions for multigenic structural analysis predicted from AlphaFold
  • GGMM 2023 – Young Modellers Conference (Toulouse, May 17th 2023): Functional modes and thermal B-factor predictions for multigenic structural analysis predicted from AlphaFold
  • GGMM 2023 – Young Modellers Conference (Toulouse, May 17th 2023): Identification of the Twenty Proteinogenic Amino Acids using MoS2 Solid-State Nanopores
  • 1ère réunion de l’axe transverse « Matériaux innovants et Photonique pour la Santé » (Dijon, April 27th 2023): Nanodetection and neurodegenerative diseases

2022:

  • 2022 MRS Fall meeting and exhibit (Boston USA, December 1st 2022): Identification of Proteinogenic Amino Acids using MoS2 Solid-State Nanopores

2021:

  • Bioelectrodynamics Webinar series (December 6th 2021): Challenges in unlabelled single-biomolecule sequencing using 2-D solid–state nanopores

  • NanoMedicine International Conference 2021 (Milan Italy Oct. 20-22 2021): Nanopore Sensing of Single-Biomolecule: Challenges in Protein Sequencing using Solid-State Nanopores.
  • Nanopore Weekly Meeting (Webinar Sept. 13th 2021): Challenges in Protein Sequencing using 2-D MoS2 Nanopores.
  • The International Society of Quantum Biology and Pharmacology (ISQBP) 2021 President’s Meeting (Online June 29th-July 1st 2021): Challenges in Protein Sequencing using 2-D MoS2 Nanopores, Answers from all-atom Molecular Dynamics.

2019:

  • The SFNano C’Nano joint meeting (Dijon France, Dec. 10-12 2019): Identifying Patterns in Time Series Data: Application to Biological Peptide Translocation through single-layer MoS2 Nanopores.
  • International Conference on Advanced Nanotechnology and Nanomaterials (Dubaï UAE, Nov. 20-21): Identifying Patterns in Time Series Data: Application to Biological Peptide Translocation through single-layer MoSNanopores.

2018:

2017: 

  • Deciphering complex energy landscape and kinetic network from single molecules to cells: a new challenge to make theories meet experiments (Dijon France Sept. 3-8 2017): Computational investigation of the translocation of single polypeptide through MoS2 nanopores from ionic conductance dynamics.
  • XXVIII International Materials Research Congress (Cancún México, Aug. 20-25): Biological Peptide Sequencing: Computational investigation of the performances of MoSsolid-state nanopores for such applications.

2023:

2022:

2021:

2020:

2019:

2018:

2017:

2016:

2015:

2014:

2013:

2010:

Licence Sciences et Techniques:

  • L1: Physique Générale
  • L2: Outils Informatiques pour la Physique et la Chimie
  • L3: Physique de la Matière Condensée

Master Physics Photonics Nanotechnology:

  • M1: Soft Matter (Practical)
  • M2: Nanobiomodelling (Practical)
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e-mail:
adrien.nicolai@u-bourgogne.fr
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fonction:

Maître de conférences / Assistant professor

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Bâtiment MIRANDE - Aile D bureau 316
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CV:

I studied Physics at Université de Bourgogne (uB), where I got a master degree in Nanotechnology and Nanobiosciences in 2009. I earned a PhD from uB in 2012 under the supervision of Professor Patrick Senet. I was postdoctoral research associate at Renselaer Poytechnic Institute (NY, USA) in 2013-2014, joining the group of Professor Vincent Meunier and at Ecole Polytechnique Federale de Lausanne (Switzerland) in the group of Professor Clémence Corminboeuf (LCMD) until 2015 when I joined uB as an assistant professor.  

Research interests:

My domains of expertise are condensed matter physics, physics and chemistry of nanomaterials and biophysics. My research uses computation and numerical simulations to examine and describe mechanisms of interactions between Nanomaterials and biomolecules (proteins) at the atomic level. I am particularly interested in the characterization and detection of single biomolecules using devices based on Nanomaterials (spectroscopic and sequencing techniques). [video width="700" height="500" mp4="https://icb.u-bourgogne.fr/wp-content/uploads/2018/08/anim.mp4" loop="true" autoplay="true"][/video]  
projets:
  • Construction de novo d'une enzyme synthétique permettant d'éliminer des polluants alimentaires et non alimentaires (SYNTHEZYME). PhD thesis of Nicolas Petiot (started Oct. 1st 2023).

https://www.theses.fr/s367768
  • Functional modes and thermal B-factor predictions for multigenic structural analysis predicted from AlphaFold. M2 internship of Nicolas Petiot (2023).
  • Deciphering the free-energy landscape of GST enzymes induced by ligand binding. M1 internship of Nicolas Petiot (2022).
  • Nano-SEquenceur de Protéines assisté par Intelligence Artificielle (SEPIA). PhD thesis of Andreina Urquiola Hernandez (started Oct. 1st, 2021).

https://www.theses.fr/s302012

  • Nanopore Sensing of Single Biomolecule Assisted by Machine Learning. M2 internship of Andreina Urquiola Hernandez (2021).
  • Design and computer simulations of 2D MeX2 (Me = transition metal) nanopores for DNA and protein detection and analysis. PhD thesis of Maria Daniela Barrios Pérez (defended Jan. 7th, 2020).

https://www.theses.fr/2020UBFCK003

  • Identifying patterns in Time series Data from Nanopore sensing of single-biomolecules experiments. M1 internship of Aniket Rath (2019).
  • Simulation des spectres infrarouge basses fréquences (<300 GHz) à haute résolution de la conalbumine. Rôle de l’anharmonicité et comparaison avec les données expérimentales. M1+M2 internships of Mohamed Ahmed Khaireh (2017-2018).
  • Translocation of biomolecules through solid-state nanopores. M2 internship of Daniela Barrios Pérez (2016).
communications:

2024:

  •  Nanofluidics Conference (Lenzerheide, Jan. 21-24th 2024): Single-layer MoS2 Nanopores for Coarse-Grained Sequencing of Proteins

2023:

  • Single-Molecule Sensors and nanoSystems International Conference 2023 (Barcelona, Nov. 23rd 2023): Single-layer MoS2 Nanopores for Coarse-Grained Sequencing of Proteins
  • Black Forest Nanopore Meeting (Nov. 6-9th 2023): Single-layer MoS2 Nanopores for Coarse-Grained Sequencing of Proteins
  • 1ère réunion de l'axe transverse "Expériences numériques, modélisations et intelligence artificielle" (Dijon, July 13th 2023): SEPIA : Nano-SEquenceur de Protéines assisté par Intelligence Artificielle
  • Rencontre des Chimistes Théoriciens du Grand-Est (Reims, May 30-31st 2023): Functional modes and thermal B-factor predictions for multigenic structural analysis predicted from AlphaFold
  • GGMM 2023 - Young Modellers Conference (Toulouse, May 17th 2023): Functional modes and thermal B-factor predictions for multigenic structural analysis predicted from AlphaFold
  • GGMM 2023 - Young Modellers Conference (Toulouse, May 17th 2023): Identification of the Twenty Proteinogenic Amino Acids using MoS2 Solid-State Nanopores
  • 1ère réunion de l'axe transverse "Matériaux innovants et Photonique pour la Santé" (Dijon, April 27th 2023): Nanodetection and neurodegenerative diseases

2022:

  • 2022 MRS Fall meeting and exhibit (Boston USA, December 1st 2022): Identification of Proteinogenic Amino Acids using MoS2 Solid-State Nanopores

2021:

  • Bioelectrodynamics Webinar series (December 6th 2021): Challenges in unlabelled single-biomolecule sequencing using 2-D solid–state nanopores
[embed]https://www.youtube.com/watch?v=QXqu0oFawuU[/embed]
  • NanoMedicine International Conference 2021 (Milan Italy Oct. 20-22 2021): Nanopore Sensing of Single-Biomolecule: Challenges in Protein Sequencing using Solid-State Nanopores.
  • Nanopore Weekly Meeting (Webinar Sept. 13th 2021): Challenges in Protein Sequencing using 2-D MoS2 Nanopores.
  • The International Society of Quantum Biology and Pharmacology (ISQBP) 2021 President’s Meeting (Online June 29th-July 1st 2021): Challenges in Protein Sequencing using 2-D MoS2 Nanopores, Answers from all-atom Molecular Dynamics.

2019:

  • The SFNano C’Nano joint meeting (Dijon France, Dec. 10-12 2019): Identifying Patterns in Time Series Data: Application to Biological Peptide Translocation through single-layer MoS2 Nanopores.
  • International Conference on Advanced Nanotechnology and Nanomaterials (Dubaï UAE, Nov. 20-21): Identifying Patterns in Time Series Data: Application to Biological Peptide Translocation through single-layer MoSNanopores.

2018:

2017: 

  • Deciphering complex energy landscape and kinetic network from single molecules to cells: a new challenge to make theories meet experiments (Dijon France Sept. 3-8 2017): Computational investigation of the translocation of single polypeptide through MoS2 nanopores from ionic conductance dynamics.
  • XXVIII International Materials Research Congress (Cancún México, Aug. 20-25): Biological Peptide Sequencing: Computational investigation of the performances of MoSsolid-state nanopores for such applications.
publications:

2023:

2022:

2021:

2020:

2019:

2018:

2017:

2016:

2015:

2014:

2013:

2010:

enseignements:

Licence Sciences et Techniques:

  • L1: Physique Générale
  • L2: Outils Informatiques pour la Physique et la Chimie
  • L3: Physique de la Matière Condensée

Master Physics Photonics Nanotechnology:

  • M1: Soft Matter (Practical)
  • M2: Nanobiomodelling (Practical)
administration:
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