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J. M. García de la Vega
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2020 – today
- 2022
- [j14]Ignacio Ema, Guillermo Ramírez, Rafael López, José Manuel García de la Vega:
Generation of Basis Sets for Accurate Molecular Calculations: Application to Helium Atom and Dimer. Comput. 10(5): 65 (2022) - 2021
- [j13]Jesús San Fabián, Salama Omar, José Manuel García de la Vega:
Computational approaches to amino acid side-chain conformation using combined NMR theoretical and experimental results: leucine-67 in Desulfovibrio vulgaris flavodoxin. Briefings Bioinform. 22(5) (2021) - [j12]Jesús San Fabián, Ignacio Ema, Salama Omar, José Manuel García de la Vega:
Toward a Computational NMR Procedure for Modeling Dipeptide Side-Chain Conformation. J. Chem. Inf. Model. 61(12): 6012-6023 (2021)
2010 – 2019
- 2019
- [j11]Rafael López, Frank Martinez, Ignacio Ema, José Manuel García de la Vega, Guillermo Ramírez:
Efficient Evaluation of Molecular Electrostatic Potential in Large Systems. Comput. 7(4): 64 (2019) - [j10]Stephen J. Barigye, José Manuel García de la Vega, Juan A. Castillo-Garit:
Undersampling: case studies of flaviviral inhibitory activities. J. Comput. Aided Mol. Des. 33(11): 997-1008 (2019) - 2017
- [j9]Isabel Lage-Estebanez, Lourdes del Olmo, Rafael López, José Manuel García de la Vega:
The role of errors related to DFT methods in calculations involving ion pairs of ionic liquids. J. Comput. Chem. 38(8): 530-540 (2017) - 2016
- [j8]Karl Karu, Anton Ruzanov, Heigo Ers, Vladislav Ivanistsev, Isabel Lage-Estebanez, José Manuel García de la Vega:
Predictions of Physicochemical Properties of Ionic Liquids with DFT. Comput. 4(3): 25 (2016) - [j7]Oscar Miguel Rivera-Borroto, José Manuel García de la Vega, Yovani Marrero-Ponce, Ricardo Grau:
Relational Agreement Measures for Similarity Searching of Cheminformatic Data Sets. IEEE ACM Trans. Comput. Biol. Bioinform. 13(1): 158-167 (2016) - 2013
- [j6]Erix Wiliam Hernández-Rodríguez, Ana Lilian Montero-Alejo, Rafael López, Elsa Sánchez-García, Luis Alberto Montero-Cabrera, José Manuel García de la Vega:
Electron density deformations provide new insights into the spectral shift of rhodopsins. J. Comput. Chem. 34(28): 2460-2471 (2013) - 2011
- [j5]Oscar Miguel Rivera-Borroto, Yovani Marrero-Ponce, José Manuel García de la Vega, Ricardo del Corazón Grau-Ábalo:
Comparison of Combinatorial Clustering Methods on Pharmacological Data Sets Represented by Machine Learning-Selected Real Molecular Descriptors. J. Chem. Inf. Model. 51(12): 3036-3049 (2011)
2000 – 2009
- 2008
- [j4]Yoanna María Alvarez-Ginarte, Yovani Marrero-Ponce, José Alberto Ruiz-García, Luis Alberto Montero-Cabrera, José Manuel García de la Vega, Pedro Noheda Marin, Rachel Crespo-Otero, Francisco Torrens Zaragoza, Ramón García-Domenech:
Applying pattern recognition methods plus quantum and physico-chemical molecular descriptors to analyze the anabolic activity of structurally diverse steroids. J. Comput. Chem. 29(3): 317-333 (2008) - 2007
- [j3]V. R. Ferro, Rafael López, Salama Omar, J. M. García de la Vega:
On the molecular electron structure of three phosphinine-containing macrocycles. J. Comput. Chem. 28(5): 958-966 (2007) - 2003
- [j2]Ignacio Ema, J. M. García de la Vega, Guillermo Ramírez, Rafael López, Jaime Fernández Rico, H. Meissner, J. Paldus:
Polarized basis sets of Slater-type orbitals: H to Ne atoms. J. Comput. Chem. 24(7): 859-868 (2003) - 2001
- [j1]L. A. Poveda, V. R. Ferro, J. M. García de la Vega, Raúl H. González-Jonte:
A theoretical approach to the influence of the macrocycle conformation on the molecular electronic structure in Mg-porphyrins. J. Comput. Aided Mol. Des. 15(2): 183-193 (2001)
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