D-Index & Metrics Best Publications

D-Index & Metrics

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 42 Citations 5,481 130 World Ranking 15058 National Ranking 88

Overview

What is he best known for?

The fields of study he is best known for:

  • Enzyme
  • Gene
  • Biochemistry

His primary scientific interests are in Biochemistry, Mycobacterium tuberculosis, Kinase, Enzyme and Cyclin-dependent kinase. His study in Cyclin-dependent kinase 2, Transferase, Venom, Binding site and Protein structure is carried out as part of his Biochemistry studies. Walter Filgueira de Azevedo works mostly in the field of Cyclin-dependent kinase 2, limiting it down to concerns involving Cyclin-dependent kinase 1 and, occasionally, Adenine derivatives, Molecular model and Cyclin-dependent kinase 5.

His study focuses on the intersection of Mycobacterium tuberculosis and fields such as Shikimate pathway with connections in the field of Whole genome sequencing, EPSP synthase and Structural bioinformatics. His research on Enzyme often connects related areas such as Herpes simplex virus. His studies deal with areas such as Cyclin T1, Stereochemistry, Protein kinase A and Cell biology as well as Cyclin-dependent kinase.

His most cited work include:

  • Inhibition of Cyclin‐Dependent Kinases by Purine Analogues (605 citations)
  • Structural basis for inhibition of cyclin-dependent kinase 9 by flavopiridol. (125 citations)
  • 4-Arylazo-3,5-diamino-1H-pyrazole CDK Inhibitors: SAR Study, Crystal Structure in Complex with CDK2, Selectivity, and Cellular Effects† (125 citations)

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

Walter Filgueira de Azevedo mainly investigates Biochemistry, Stereochemistry, Enzyme, Docking and Purine nucleoside phosphorylase. His Biochemistry study typically links adjacent topics like Mycobacterium tuberculosis. His work on Molecular model as part of his general Stereochemistry study is frequently connected to Binary complex, thereby bridging the divide between different branches of science.

His Shikimate pathway and Substrate study, which is part of a larger body of work in Enzyme, is frequently linked to Ligand, bridging the gap between disciplines. His Docking research focuses on subjects like Computational biology, which are linked to Bioinformatics and Genome. His work in Purine nucleoside phosphorylase tackles topics such as Transferase which are related to areas like Deoxyguanosine.

He most often published in these fields:

  • Biochemistry (47.02%)
  • Stereochemistry (37.50%)
  • Enzyme (33.33%)

What were the highlights of his more recent work (between 2015-2020)?

  • Docking (19.05%)
  • Ligand (14.29%)
  • Molecular recognition (6.55%)

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

The scientist’s investigation covers issues in Docking, Ligand, Molecular recognition, Computational biology and Virtual screening. The concepts of his Docking study are interwoven with issues in AutoDock and Binding site. His work carried out in the field of Computational biology brings together such families of science as Cyclin-dependent kinase, Cyclin-dependent kinase 3, Kinase and Bioinformatics.

The concepts of his Virtual screening study are interwoven with issues in Protein ligand and Organic molecules. Walter Filgueira de Azevedo combines subjects such as Stereochemistry and Hydrogen bond with his study of Intermolecular force. The Enzyme study combines topics in areas such as Cancer, Gene and Mycobacterium tuberculosis.

Between 2015 and 2020, his most popular works were:

  • SAnDReS a Computational Tool for Statistical Analysis of Docking Results and Development of Scoring Functions (61 citations)
  • Supervised Machine Learning Methods Applied to Predict Ligand- Binding Affinity. (38 citations)
  • Supervised machine learning techniques to predict binding affinity. A study for cyclin-dependent kinase 2 (35 citations)

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

  • Enzyme
  • Gene
  • DNA

Walter Filgueira de Azevedo spends much of his time researching Docking, Computational biology, Machine learning, Artificial intelligence and Ligand. His work on Virtual screening and Protein–ligand docking as part of general Docking study is frequently linked to Statistical analysis, bridging the gap between disciplines. He has included themes like Bioinformatics, Cyclin-dependent kinase, Function, Kinase and Cyclin in his Computational biology study.

As a part of the same scientific study, Walter Filgueira de Azevedo usually deals with the Bioinformatics, concentrating on Protease and frequently concerns with Inhibition constant. His Cyclin-dependent kinase research incorporates themes from Cyclin-dependent kinase 1, Protein target and Protein family. His Kinase research integrates issues from Molecular recognition, Cancer, Senescence and Enzyme.

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

Inhibition of Cyclin‐Dependent Kinases by Purine Analogues

Walter Filgueira De Azevedo;Sophie Leclerc;Laurent Meijer;Libor Havlicek.
FEBS Journal (1994)

773 Citations

Molecular docking algorithms.

Raquel Dias;Walter Filgueira de Azevedo.
Current Drug Targets (2008)

196 Citations

4-Arylazo-3,5-diamino-1H-pyrazole CDK Inhibitors: SAR Study, Crystal Structure in Complex with CDK2, Selectivity, and Cellular Effects†

Vladimir Krystof;Petr Cankar;Iveta Frysova;Jan Slouka.
Journal of Medicinal Chemistry (2006)

189 Citations

Anoplin, a novel antimicrobial peptide from the venom of the solitary wasp Anoplius samariensis.

Katsuhiro Konno;Miki Hisada;Renato Fontana;Carla C.B. Lorenzi.
Biochimica et Biophysica Acta (2001)

169 Citations

Structural basis for inhibition of cyclin-dependent kinase 9 by flavopiridol.

Walter Filgueira de Azevedo;Fernanda Canduri;Fernanda Canduri;Nelson José Freitas da Silveira.
Biochemical and Biophysical Research Communications (2002)

157 Citations

How C-terminal carboxyamidation alters the biological activity of peptides from the venom of the eumenine solitary wasp.

Mauricio L. Sforca;Sérgio Oyama;Fernanda Canduri;Carla C. B. Lorenzi.
Biochemistry (2004)

99 Citations

Automated NMR structure determination and disulfide bond identification of the myotoxin crotamine from Crotalus durissus terrificus

Valmir Fadel;Pascal Bettendorff;Torsten Herrmann;Walter F. de Azevedo.
Toxicon (2005)

95 Citations

MolDock applied to structure-based virtual screening.

Walter Filgueira De Azevedo.
Current Drug Targets (2010)

94 Citations

Antimalarial Activity of Physalins B, D, F, and G

Matheus S. Sá;Maria N. de Menezes;Antoniana U. Krettli;Ivone M. Ribeiro.
Journal of Natural Products (2011)

94 Citations

Molecular model of cyclin-dependent kinase 5 complexed with roscovitine

Walter Filgueira de Azevedo;Walter Filgueira de Azevedo;Renato Tadeu Gaspar;Fernanda Canduri;Fernanda Canduri;João Carlos Camera.
Biochemical and Biophysical Research Communications (2002)

90 Citations

Best Scientists Citing Walter Filgueira de Azevedo

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Oswaldo Cruz Foundation

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Nathanael S. Gray

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Peter M. Fischer

Peter M. Fischer

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Martin E.M. Noble

Martin E.M. Noble

Newcastle University

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J. Julian Blow

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Vern L. Schramm

Vern L. Schramm

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Peter G. Schultz

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Michael R. Grever

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John C. Byrd

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Dirk Inzé

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Paul Workman

Paul Workman

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Octavio L. Franco

Octavio L. Franco

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Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-index is inferred from publications deemed to belong to the considered discipline.

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