Bruno Villoutreix PhD in Structural Bioinformatics - Drug Design

Course and current status

Jan 2019 - present: Inserm U1177 Lille. Program "Region Hauts de France STaRS – i-Site" : « Accueil de chercheurs statutaires de haut niveau »

Jan 2009-Dec 2018: Founder and director of Inserm-Univ Paris Diderot UMRS-973, Molécules Thérapeutiques in silico (~30 people, in silico Drug discovery, chemoinformatics, Bioinformatics and applications in several therapeutic areas)

From Sept 2012 to Sept 2015: Co-director doctoral school: Medicinal Chemistry, Toxicity, Environment (MTCE, presently MTCi)

2002-2008: head of the Inserm Avenir team (Bioinformatics, Chemoinformatics, Blood coagulation & Complement)

2005: Research Director Inserm, U648, Univ Paris Descartes (Chemistry, Head Prof C. Garbay)

2001: Research Director Inserm, U428, Univ Paris Descartes (Blood coagulation, Head Prof M. Aiach)

1998-2001: Associate Professor, Malmo University Hospital, Sweden (Head Prof B. Dahlback, Blood Coagulation).

1998-2001: Visiting Professor (1 month/year) University of Paris 5, School of Pharmacy.

1996-1997: Visiting scientist Structural Bioinformatics, Malmo University Hospital, Sweden (Blood coagulation & Complement).

1995-1996: Visiting scientist Structural Bioinformatics – Drug Design, VTT Biotechnology, Helsinki, Finland. Biologics, diagnostic kits, cancer

1992-1995: Research Assistant Structural Bioinformatics, Scripps Clinic & Research Institute, San Diego, USA (Blood coagulation, complement, cancer).

1992: Student training, Electrostatics (3 months) Central Laboratory of Biophysics, Sofia Bulgaria.

1991: Student training, Structural Bioinformatics, Uppsala, Sweden.

1988 and 1990: visiting scientist: enzyme fast kinetics (5 months). Penn State University, USA.

Scientific summary

Over 200 publications - Google Scholar H-index 51 - 7 patents - 1 molecule in phase II clinial trial

I work at the interface between structural bioinformatics, chemoinformatics and biology - molecular medicine. One goal is to identify novel therapeutic molecules and to understand better disease pathways. The focus is on the modulation of challenging therapeutic targets. The applications are mainly in the areas of cancer and blood coagulation while some projects are also on rare diseases and neglected diseases. Another goal is to develop novel computational approaches.

some keywords:

Protein structure analysis, drug design, virtual screening, ADMET in silico prediction, analysis of point mutations identified in patients (biostructural pathology), data mining, machine learning, python, shell, unix, application of virtual screening and chemical biology mainly to blood coagulation and complement proteins and cancer targets, investigation of novel therapeutic targets, protein-protein interactions, transient protein-membrane interactions.

You can find my directory of weblinks dedicated to in silico methods that assist the early steps of drug discovery here (over 500,000 visitors from 2006 - 2018):

With several colleagues we developed:

an online ADME-tox filtering tools: FAF-Drugs (between 15000 to 30000 connections each year worldwide)

The online virtual screening MTiOpenScreen tool (about 10000 connections each year) with recent updates involving 3 new collections of purchasable compounds  ready for docking (drug compounds for repositioning, natural products and food-derived products)

Co-founder of 3 start-up

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