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Maria Natália Dias Soeiro Cordeiro
AuthID:
R-000-CE0
Publications
Confirmed
To Validate
Document Source:
All
Document Type:
All Document Types
Article (321)
Review (42)
Book Chapter (24)
Editorial Material (9)
Proceedings Paper (9)
Correction (6)
Unpublished (4)
Abstract (3)
Article in Press (3)
Book (2)
Erratum (1)
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Order:
Year Dsc
Year Asc
Cit. WOS Dsc
IF WOS Dsc
Cit. Scopus Dsc
IF Scopus Dsc
Title Asc
Title Dsc
Results:
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Confirmed Publications: 424
141
TITLE:
From flamingo dance to (desirable) drug discovery: a nature-inspired approach
Full Text
AUTHORS:
Aminael Sanchez Rodriguez;
Yunierkis Perez Castillo
;
Stephan C Schurer
;
Orazio Nicolotti
; Giuseppe Felice Mangiatordi;
Fernanda Borges
;
Natalia N D S Cordeiro
;
Eduardo Tejera
;
Jose L Medina Franco
;
Maykel Cruz Monteagudo
;
PUBLISHED:
2017
,
SOURCE:
DRUG DISCOVERY TODAY,
VOLUME:
22,
ISSUE:
10
INDEXED IN:
Scopus
WOS
CrossRef
:
27
IN MY:
ORCID
142
TITLE:
Fusing Docking Scoring Functions Improves the Virtual Screening Performance for Discovering Parkinson's Disease Dual Target Ligands
AUTHORS:
Yunierkis Perez Castilloa
;
Aliuska Morales Helguerab
;
Natalia N D S Cordeiro
;
Eduardo Tejera
; Cesar Paz y Mino; Aminael Sanchez Rodriguez;
Fernanda Borgesh
; Maykel Cruz Monteagudo;
PUBLISHED:
2017
,
SOURCE:
CURRENT NEUROPHARMACOLOGY,
VOLUME:
15,
ISSUE:
8
INDEXED IN:
WOS
IN MY:
ORCID
|
ResearcherID
143
TITLE:
Fusing docking scoring functions improves the virtual screening performance for discovering Parkinson’s disease dual target ligands
AUTHORS:
Perez Castillo, Y
;
Helguera, AM
;
Cordeiro, MNDS
; Tejera, E; Paz Y Miño, C; Sánchez Rodríguez, A;
Borges, F
;
Cruz Monteagudo, M
;
PUBLISHED:
2017
,
SOURCE:
Current Neuropharmacology,
VOLUME:
15,
ISSUE:
8
INDEXED IN:
Scopus
CrossRef
:
8
IN MY:
ORCID
144
TITLE:
Janus Gold Nanoparticles from Nanodroplets of Alkyl Thiols: A Molecular Dynamics Study
Full Text
AUTHORS:
Debdip Bhandary
;
Vasumathi Valechi
;
Maria Natalia D S Cordeiro
;
Jayant K Singh
;
PUBLISHED:
2017
,
SOURCE:
LANGMUIR,
VOLUME:
33,
ISSUE:
12
INDEXED IN:
Scopus
WOS
CrossRef
:
10
IN MY:
ORCID
|
ResearcherID
145
TITLE:
Machine Learning Approach to Predict Enzyme Subclasses
AUTHORS:
Concu, R
; González Díaz, H;
Cordeiro, MNDS
;
PUBLISHED:
2017
,
SOURCE:
Multi-Scale Approaches in Drug Discovery: From Empirical Knowledge to In silico Experiments and Back
INDEXED IN:
Scopus
CrossRef
IN MY:
ORCID
146
TITLE:
Machine learning based multiclassifiers as a neurotoxicity estimation tool for ionic liquids
AUTHORS:
Dominguez Lopez, R; Avila de la Cruz, LC; Borges, F;
Cordeiro, MNDS
; Paz y Mino, C; Tejera, E; Perez Castillos, Y; Sanchez Rodriguez, A; Perera Sardina, Y;
Cruz Monteagudo, M
;
PUBLISHED:
2017
,
SOURCE:
AFINIDAD,
VOLUME:
74,
ISSUE:
578
INDEXED IN:
WOS
IN MY:
ORCID
|
ResearcherID
147
TITLE:
Molecular dynamics simulations and comparison of two new and high selective imprinted xerogels
AUTHORS:
Concu, R
;
Azenha, M
;
Cordeiro, MN
;
PUBLISHED:
2017
,
SOURCE:
Biopolymers for Medical Applications
INDEXED IN:
Scopus
CrossRef
148
TITLE:
Molecular Simulations of the Synthesis of Periodic Mesoporous Silica Phases at High Surfactant Concentrations
AUTHORS:
Chien, SC; Perez Sanchez, G;
Gomes, JRB
;
Cordeiro, MNDS
;
Jorge, M
;
Auerbach, SM
; Monson, PA;
PUBLISHED:
2017
,
SOURCE:
JOURNAL OF PHYSICAL CHEMISTRY C,
VOLUME:
121,
ISSUE:
8
INDEXED IN:
Scopus
WOS
CrossRef
:
27
IN MY:
ORCID
|
ResearcherID
149
TITLE:
Nanodesk project: development of a web platform for the selection of the nanoparticles of interest for the plastic industry
AUTHORS:
Riccardo Concu
;
Maria Natalia Dias Soeiro Cordeiro
;
PUBLISHED:
2017
,
SOURCE:
Proceedings of MOL2NET 2017, International Conference on Multidisciplinary Sciences, 3rd edition
INDEXED IN:
CrossRef
IN MY:
ORCID
150
TITLE:
New Force Field Model for Propylene Glycol: Insight to Local Structure and Dynamics
AUTHORS:
Elisabete S C Ferreira
;
Iuliia V Voroshylova
; Volodymyr A Koverga;
Carlos M Pereira
;
Natalia N D S Cordeiro
;
PUBLISHED:
2017
,
SOURCE:
JOURNAL OF PHYSICAL CHEMISTRY B,
VOLUME:
121,
ISSUE:
48
INDEXED IN:
Scopus
WOS
CrossRef
:
24
IN MY:
ORCID
|
ResearcherID
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