      
List of
Publications
RESEARCH PAPERS
[Only published, in print and accepted papers are
listed]
PUBLICATIONS
Published Papers
Marrero-Ponce, Y.
Total and Local Quadratic Indices of the Molecular Pseudograph’s
Atom Adjacency Matrix: Applications to the Prediction of Physical
Properties of Organic Compounds.
Molecules. 2003,
8, 687-726.
Marrero-Ponce, Y.;
Cabrera, M., A.; Romero, V.; Ofori, E.; Montero, L. A. Total and
Local Quadratic Indices of the “Molecular Pseudograph’s Atom
Adjacency Matrix”. Application to Prediction of Caco-2 Permeability
of Drugs. Int. J. Mol. Sci.
2003, 4,
512-536.
González-Díaz, H; Marrero-Ponce, Y.;
Hernández, I; Bastida, I; Tenorio, E; Nasco, O; Uriarte, U;
Castañedo, N.; Cabrera, M.A.; Aguila, E.; Marrero, O.; Morales, A.;
Pérez, M. 3D-MEDNEs: An Alternative “In Silico” Technique for
Chemical Research in Toxicology. 1. Prediction of
Chemically Induced Agranulocytosis.
Chem. Res. Toxicol.
2003, 16,
1318-1327.
Marrero-Ponce, Y.;
Cabrera, M. A.; Romero, V.; González, D. H.; Torrens, F. A New
Topological Descriptors Based Model for Predicting Intestinal
Epithelial Transport of Drugs in Caco-2 Cell Culture. J. Pharm.
Pharm. Sci. 2004, 7, 186-199.
Marrero-Ponce, Y.;
González-Díaz, H.;
Romero-Zaldivar,
V.; Torrens, F.; Castro, E. A. 3D-Chiral Quadratic Indices of the
“Molecular Pseudograph’s Atom Adjacency Matrix” and their
Application to Central Chirality Codification: Classification of ACE
Inhibitors and Prediction of
s-Receptor
Antagonist Activities. Bioorg. Med. Chem. 2004,
12,
5331-5342.
*Marrero-Ponce, Y.
Total and Local (Atom and Atom-Type) Molecular Quadratic Indices:
Significance-Interpretation, Comparison to Other Molecular
Descriptors and QSPR/QSAR Applications. Bioorg. Med. Chem.
2004,
12,
6351-6369.
*This
paper has recently been recognised in the "Top-50 most cited
articles" as published in Bioorganic & Medicinal Chemistry 2003-2006
[Citaton Source:
Scopus (www.scopus.com)]
Marrero-Ponce, Y.;
Nodarse, D.;
González-Díaz, H.;
Ramos
de Armas, R.; Romero-Zaldivar, V.; Torrens, F.; Castro, E. Nucleic
Acid Quadratic Indices of the “Macromolecular Graph’s Nucleotides
Adjacency Matrix”. Modeling of Footprints
after the Interaction of Paromomycin with the HIV-1
Y-RNA
Packaging Region. Int. J. Mol. Sci. 2004, 5,
276-293 (see also CPS: physchem/0401004.)
Marrero-Ponce, Y.
Linear Indices of the “Molecular Pseudograph’s Atom Adjacency
Matrix”: Definition, Significance-Interpretation and Application to
QSAR Analysis of Flavone Derivatives as HIV-1 Integrase Inhibitors.
J. Chem. Inf. Comput. Sci. 2004, 44,
2010-2026.
Marrero-Ponce, Y.;
Castillo-Garit, J. A.; Torrens, F.; Romero-Zaldivar, V.; Castro, E.
Atom, Atom-Type and Total Linear Indices of the “Molecular
Pseudograph’s Atom Adjacency Matrix”: Application to QSPR/QSAR
Studies of Organic Compounds. Molecules.
2004,
9,
1100-1123.
Marrero-Ponce, Y.;
Medina, R.; Castro, E. A.; de Armas, R.; González, H.; Romero, V.;
Torrens, F. Protein Quadratic Indices of the “Macromolecular
Pseudograph’s a-Carbon
Atom Adjacency Matrix”. 1. Prediction of
Arc Repressor Alanine-mutant’s Stability. Molecules.
2004,
9,
1124–1147.
Marrero-Ponce, Y.;
Castillo-Garit, J.A.; Olazabal, E.;
Serrano, H. S.; Morales, A.; Castañedo, N.; Ibarra-Velarde,
F.; Huesca-Guillen, A.; Jorge, E.;
del Valle, A.; Torrens, F.; Castro, E. A. TOMOCOMD-CARDD,
a Novel Approach for Computer-Aided
“Rational” Drug Design: I. Theoretical and Experimental Assessment
of a Promising Method for Computational Screening and in silico
Design of New Anthelmintic Compounds. J. Comput. Aided
Mol. Des. 2004,
18, 615-633.
Marrero-Ponce, Y.;
Montero-Torres, A.; Romero-Zaldivar, C.;
Iyarreta-Veitía, I.; Mayón
Peréz, M.; García Sánchez, R. Non-Stochastic and Stochastic Linear
Indices of the “Molecular Pseudograph’s Atom Adjacency Matrix”:
Application to “in silico” Studies for the Rational Discovery
of New Antimalarial Compounds. Bioorg. Med. Chem. 2005,
13, 1293-1304.
Marrero-Ponce, Y.;
Castillo-Garit, J.A.; Olazabal, E.;
Serrano, H. S.; Morales, A.; Castañedo, N.; Ibarra-Velarde,
F.; Huesca-Guillen, A.; Jorge, E.;
Sánchez, A. M.; Torrens, F.; Castro, E. A. Atom, Atom-Type
and Total Molecular Linear Indices as a
Promising Approach for Bioorganic & Medicinal Chemistry: Theoretical
and Experimental Assessment of a Novel Method for Virtual Screening
and Rational Design of New Lead Anthelmintic. Bioorg. Med.
Chem. 2005, 13,
1005-1020.
Marrero-Ponce, Y.;
Huesca-Guillen, A.;
Ibarra-Velarde, F. Quadratic Indices of the “Molecular Pseudograph’s
Atom Adjacency Matrix” and Their Stochastic Forms: A
Novel Approach for Virtual Screening and in silico
Discovery of New Lead Paramphistomicide Drugs-like Compounds. J.
Theor. Chem. (THEOCHEM).
2005, 717, 67-79.
Alvares-Ginarte, Y., M.;
Crespo, R.; Montero-Cabrera, L., A.; Ruiz-Garcia, J., A.;
Marrero-Ponce, Y.; Santana, R.; Pardillo-Fontdevilla, E.;
Alonso-Becerra, E. A Novel in-silico Approach for QSAR Studies of
Anabolic and Androgenic Activities in the 17β-hydroxy-5a-androstane
Steroid Family. QSAR Comb. Sci. 2005, 24,
218-226.
Marrero-Ponce, Y.;
Cabrera, M. A.;
Romero-Zaldivar,
V.; Bermejo, M.; Siverio, D.; Torrens, F. Prediction of Intestinal
Epithelial Transport of Drug in (Caco-2) Cell Culture from Molecular
Structure using ‘in silico’ Approaches During Early Drug
Discovery. Internet Electronic J. Mol. Des. 2005, 4,
124-150.
Marrero-Ponce, Y.;
Medina-Marrero, R.; Castillo-Garit, J.A.; Romero-Zaldivar, V.;
Torrens, F.; Castro, E. A. Protein Linear Indices of the
“Macromolecular Pseudograph’s
a-Carbon
Atom Adjacency Matrix” in Bioinformatics. Part 1. Prediction of
Protein Stability Effects of a Complete Set of Alanine Substitutions
in Arc Repressor. Bioorg. Med. Chem. 2005, 13,
3003-3015.
**Marrero-Ponce,
Y.;
Medina-Marrero, R.;
Torrens, F.; Martinez, Y.;
Romero-Zaldivar, V.; Castro, E. A. Atom, Atom-type, and Total
Non-Stochastic and Stochastic Quadratic Fingerprints: A
promising approach for modeling of antibacterial activity.
Bioorg. Med. Chem. 2005, 13,
2881-2899.
**World’s 7th most
requested article in 3rd quarter of 2005 according to the American
Chemical Society
(http://www.cas.org/spotlight/rlist3q05j/rlist3q05j.html).
Marrero-Ponce, Y.;
Castillo-Garit, J.A.; Nodarse, D. Linear Indices of the
“Macromolecular Graph’s Nucleotides Adjacency Matrix” as a
Promising Approach for Bioinformatics Studies. 1. Prediction
of Paromomycin’s Affinity Constant with HIV-1
Y-RNA
Packaging Region. Bioorg. Med. Chem. 2005, 13,
3397-3404.
Marrero-Ponce, Y.;
Castillo-Garit, J. A. 3D-Chiral Atom, Atom-type, and Total
Non-Stochastic and Stochastic Molecular Linear Indices and their
Application to Central Chirality Codification. J. Comput.
Aided.-Mol. Des. 2005, 19, 369–383.
Marrero-Ponce, Y.;
Iyarreta,
M.; Montero, A.;
Romero, C.; Brandt, C. A.; Ávila,
P. E.; Kirchgatter, K. A.;
Machado, Y. Ligand-Based Virtual
Screening and in silico Design of New Antimalarial
Compounds Using Non-Stochastic and Stochastic Total and Atom-type
Quadratic Maps. J. Chem. Inf. Comput. Sci.
2005, 45, 1082-1100.
Meneses-Marcel, A.;
Marrero-Ponce, Y.; Machado-Tugores, Y.; Montero-Torres,
A.; Montero Pereira, D.; Escario, J. A.; Nogal-Ruiz, J. J.; Ochoa,
C.; Arán, V. J.; Martínez-Fernández, A. R., García Sánchez, R. N. A
Linear Discrimination Analysis Based Virtual Screening of
Trichomonacidal Lead-Like Compounds.
Outcomes of in silico Studies Supported by Experimental
Results. Bioorg. Med. Chem Lett. 2005, 17,
3838-3843.
Montero-Torres,
A.; Celeste Vega, A.; Marrero-Ponce, Y.; Rolón, M.;
Gómez-Barrio, A.; Escario, J. A.; Arán, V. J.; Martínez-Fernández,
A. R.; Meneses-Marcel, A. A Novel Non-Stochastic Quadratic
Fingerprints-based Approach for the “in silico” Discovery of
New Antitrypanosomal Compounds. Bioorg.
Med. Chem.
2005, 13,
6264-6275.
Casañola-Martin, G. M.;
Khan, M. T. H.; Marrero-Ponce, Y.; Ather, A.;
Sultankhodzhaev, M. N.; Torrens, F. New Tyrosinase Inhibitors
Selected by Atomic Linear Indices-Based Classification Models.
Bioorg. Med. Chem. Letter.
2006, 16, 324-330.
Marrero-Ponce, Y.;
Meneses-Marcel, A.; Machado-Tugores, Y.; Montero Pereira, D.;
Escario, J. A.; Nogal-Ruiz, J. J.; Ochoa, C.; Arán, V. J.;
Martínez-Fernández, A. R., García Sánchez, R. N.; Montero-Torres,
A.; Francisco Torrens. A Computer-Based Approach to the Rational
Discovery of New Antitrichomonas Drugs by Atom-Type Linear Indices.
Current Drug Discovery Technologies.
2005,
2, 245-265.
Marrero-Ponce, Y.;
Medina-Marrero, R.;
Martinez, Y.; Torrens, F.;
Romero-Zaldivar, V.; Castro, E. A. Non-Stochastic and Stochastic
Linear Indices of the Molecular Pseudograph’s Atom Adjacency Matrix:
A Novel Approach for Computational
–in silico- Screening and “Rational” Selection of New
Lead Antibacterial Agents. J. Mol. Mod. 2006, 12,
255–271.
Castillo-Garit, J. A.;
Marrero-Ponce, Y.;
Torrens, F. Atom-based 3D-Chiral Quadratic Indices: 2. Prediction of
the Corticosteroid-Binding Globulin Binding Affinity of the
Thirty-one Benchmark Steroids data set.
Bioorg. Med. Chem.
2006, 14,
2398-2408.
Celeste-Vega, M.;
Montero-Torres, A.; Marrero-Ponce, Y.; Rolón, M.;
Gómez-Barrio, A.; Escario, J. A.; Arán, V. J.; Martínez-Fernández,
A. R., Meneses-Marcel, A. New Ligand-Based Approach for the
Discovery of Antitrypanosomal Compounds. Bioorg. Med. Chem.
Letter. 2006,
16, 1898–1904.
Montero-Torres, A.; García, R. N.; Marrero-Ponce, Y.;
Machado-Tugores, Y.; Nogal, J. J.; Martínez, A. R.; Arán, V. J.;
Ochoa, C.; Meneses-Marcel, A.; Torrens, F. Non-stochastic Quadratic
Fingerprints and LDA-Based QSAR Models in Hit and Lead Generation
Through Virtual Screening: Theoretical
and Experimental Assessment of a Promising Method for the Discovery
of New Antimalarial Compounds. Eur. J. Med. Chem.
2006, 41, 483-493.
Marrero-Ponce, Y.; Meneses-Marcel,
A.; Machado-Tugores, Y.; Escario, J. A.; Gómez-Barrio, A; Montero
Pereira, D.; Nogal-Ruiz, J. J.; Arán, V. J.; Martínez-Fernández, A.
R.; Torrens, F.; Rotondo, R.
Predicting Antitrichomonal Activity: A Computational Screening Using
Atom-Based Bilinear Indices and Experimental Proofs. Bioorg. Med.
Chem. 2006, 14, 6502–6524.
Alvarez-Ginarte, Y.; Crespo-Otero,
R.; Marrero-Ponce, Y.; Padrón-García,
A.; Montero-Cabrera, L. A.; Ruiz-García, J. A.; Torrens,
F. Quantitative Structure-Activity Relationship and Diversity
Analysis of the 4,5a-dihydrotestosterone
Steroid Family: Computational Molecular Models To Test The
Anabolic/Androgenic Receptor. QSAR Comb. Sci. 2006,
25, 881–894.
Castillo-Garit, J. A.;
Marrero-Ponce, Y.; Torrens, F.;
Rotondo, R. Atom-based Stochastic
and non-Stochastic 3D-Chiral Bilinear Indices and their Applications
to Central Chirality Codification. J. Mol. Graph. Model.
DOI:10.1016/j.jmgm.2006.09.007
Accepted Papers
Marrero-Ponce, Y.;
Torrens, F. Bond-Based Global and Local (Bond and Bond-Type)
Quadratic Indices and Their Applications to Computer-Aided Molecular
Design. 1. QSPR Studies of Octane Isomers. J. Comput. Aided Mol.
Des. Accepted for publication.
Marrero-Ponce, Y.;
Khan, M. T. H.; Casañola-Martin, G. M.; Ather, A.; Sultankhodzhaev,
M. N.; Torrens, F. Atom-Based 2D Quadratic Indices in Drug Discovery
of Novel Tyrosinase Inhibitors. Results of in silico Studies
Supported by Experimental Results. QSAR Comb. Sci. Accepted
for publication.
Marrero-Ponce, Y.;
Khan, M. T. H.; Casañola-Martin, G. M.; Ather, A.; Khan, K.; M.;
Sultankhodzhaev, M. N.; Torrens, F.;
Rotondo, R.
Bond-Based 2D
TOMOCOMD-CARDD Approach for Drug Discovery: Aiding
Decision-Making in ‘in
silico’
Selection of New Lead
Tyrosinase Inhibitors. J.
Comput. Aided Mol. Des. Accepted for
publication.
Edited Journals and
Honorarium
Reviewer For:
·
Journal for Computer-Aided
Molecular Design
·
Molecular Diversity
·
The Journal of Medicinal Chemistry
·
Chemical Research in Toxicology
·
Journal of Chemical Information and
Modelling
·
Journal of Computational Chemistry
·
Pharmaceutical Research
·
Biopolymers
·
Journal of Polymer Science
·
Journal of Physical Chemistry
·
Computational and Theoretical
Polymer Science
·
Journal of Drug Targeting
·
Polymer
·
QSAR & Combinatorial Science
·
Biochemistry
·
Bioorganic and Medicinal Chemistry
Letters
·
Bioorganic Medicinal Chemistry
·
Int. J. Mol. Sci.
·
Molecules
·
Combinatorial Chemistry & High
Throughput Screening
·
Journal of Biomolecular Screening
·
International Journal of
Pharmaceutics
·
Journal of Pharmaceutical Science
·
Journal Molecular Modelling
·
Water Research |