D-Index & Metrics Best Publications

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Biology and Biochemistry D-index 60 Citations 10,661 230 World Ranking 8024 National Ranking 280

Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • Enzyme
  • Amino acid

Bruno O. Villoutreix mostly deals with Drug discovery, Biochemistry, Bioinformatics, In silico and Virtual screening. The study incorporates disciplines such as The Internet, Information retrieval, Small molecule and Protein–protein interaction in addition to Drug discovery. Biochemistry is closely attributed to Factor V in his research.

The concepts of his Bioinformatics study are interwoven with issues in Web server, Adme tox and Lipocalin. His In silico research is multidisciplinary, incorporating perspectives in Chemical biology, Quantitative structure–activity relationship, Simplified molecular-input line-entry system, Cheminformatics and Computational biology. His study in the fields of Protein–ligand docking under the domain of Virtual screening overlaps with other disciplines such as Structure based.

His most cited work include:

  • Regulation of Blood Coagulation by the Protein C Anticoagulant Pathway: Novel Insights Into Structure-Function Relationships and Molecular Recognition (222 citations)
  • The anticoagulant protein C pathway (214 citations)
  • Druggable pockets and binding site centric chemical space: a paradigm shift in drug discovery (211 citations)

What are the main themes of his work throughout his whole career to date?

His scientific interests lie mostly in Biochemistry, Binding site, Drug discovery, Computational biology and In silico. His Biochemistry research incorporates elements of Molecular biology and Thrombin. His Binding site research includes elements of Binding protein, C4b-binding protein, Complement control protein, Stereochemistry and Protein structure.

His biological study spans a wide range of topics, including Virtual screening, Nanotechnology, Web server, Small molecule and Drug. His Computational biology study also includes fields such as

  • Docking that connect with fields like Homology modeling,
  • Protein–protein interaction together with Chemical space. In his research, The Internet is intimately related to Bioinformatics, which falls under the overarching field of In silico.

He most often published in these fields:

  • Biochemistry (30.45%)
  • Binding site (20.68%)
  • Drug discovery (25.94%)

What were the highlights of his more recent work (between 2015-2021)?

  • In silico (19.55%)
  • Computational biology (23.31%)
  • Virtual screening (18.80%)

In recent papers he was focusing on the following fields of study:

His primary areas of investigation include In silico, Computational biology, Virtual screening, Drug repositioning and Drug discovery. His In silico research also works with subjects such as

  • Amino acid together with Binding site, Chloride channel and Cytosol,
  • Ion channel, Molecular model and GABAA receptor most often made with reference to Allosteric regulation. His work on PubChem as part of general Computational biology research is frequently linked to Lead, bridging the gap between disciplines.

His studies in Virtual screening integrate themes in fields like Active site, Field and Cheminformatics. His work deals with themes such as Chemical biology, Web server and Rational design, which intersect with Drug discovery. His Protein C study introduces a deeper knowledge of Biochemistry.

Between 2015 and 2021, his most popular works were:

  • FAF-Drugs4: free ADME-tox filtering computations for chemical biology and early stages drug discovery. (78 citations)
  • Computational analysis of calculated physicochemical and ADMET properties of protein-protein interaction inhibitors (37 citations)
  • Pharmacogenomics of the cytochrome P450 2C family: impacts of amino acid variations on drug metabolism (30 citations)

In his most recent research, the most cited papers focused on:

  • Gene
  • Enzyme
  • Amino acid

Bruno O. Villoutreix focuses on Bioinformatics, Computational biology, Chemical biology, Drug discovery and Receptor. In his work, PubChem, Chemical space, chEMBL and Online database is strongly intertwined with Identification, which is a subfield of Bioinformatics. His Computational biology research is multidisciplinary, incorporating elements of Serine protease, Protease, UniProt and Table.

His Chemical biology study necessitates a more in-depth grasp of Biochemistry. His studies examine the connections between Drug discovery and genetics, as well as such issues in Drug development, with regards to Web server. Bruno O. Villoutreix has researched In silico in several fields, including Information retrieval, Allosteric regulation and Protein–protein interaction.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Regulation of Blood Coagulation by the Protein C Anticoagulant Pathway: Novel Insights Into Structure-Function Relationships and Molecular Recognition

Björn Dahlbäck;Bruno O Villoutreix.
Arteriosclerosis, Thrombosis, and Vascular Biology (2005)

330 Citations

The anticoagulant protein C pathway

Björn Dahlbäck;Bruno O Villoutreix.
FEBS Letters (2005)

325 Citations

Druggable pockets and binding site centric chemical space: a paradigm shift in drug discovery

Stéphanie Pérot;Olivier Sperandio;Maria A. Miteva;Anne-Claude Camproux.
Drug Discovery Today (2010)

278 Citations

FAF-Drugs3: a web server for compound property calculation and chemical library design

David Lagorce;Olivier Sperandio;Jonathan B. Baell;Maria A. Miteva.
Nucleic Acids Research (2015)

268 Citations

FAF-Drugs2: Free ADME/tox filtering tool to assist drug discovery and chemical biology projects

David Lagorce;Olivier Sperandio;Hervé Galons;Maria A Miteva.
BMC Bioinformatics (2008)

261 Citations

Complement inhibitor C4b-binding protein: friend or foe in the innate immune system?

Anna M. Blom;Bruno O. Villoutreix;Björn Dahlbäck.
Molecular Immunology (2004)

247 Citations

3-Dimensional structure of membrane-bound coagulation factor VIII: Modeling of the factor VIII heterodimer within a 3-dimensional density map derived by electron crystallography

Svetla Stoilova-McPhie;Bruno O. Villoutreix;Koen Mertens;Geoffrey Kemball-Cook.
Blood (2002)

204 Citations

Mutations in components of complement influence the outcome of Factor I-associated atypical hemolytic uremic syndrome.

Frank Bienaime;Frank Bienaime;Marie-Agnes Dragon-Durey;Catherine H. Regnier;Catherine H. Regnier;Sara C. Nilsson.
Kidney International (2010)

204 Citations

Toward in silico structure-based ADMET prediction in drug discovery.

Gautier Moroy;Virginie Y. Martiny;Philippe Vayer;Bruno O. Villoutreix.
Drug Discovery Today (2012)

202 Citations

Rationalizing the chemical space of protein-protein interaction inhibitors.

Olivier Sperandio;Christelle H. Reynès;Anne-Claude Camproux;Bruno O. Villoutreix.
Drug Discovery Today (2010)

194 Citations

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