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AkademIndex

Xizmatlar

Francisco Torrens

17 ta ish

University of Valencia

AkademScholarda batafsil koʻrsatkichlar

  1. Atom, atom-type and total molecular linear indices as a promising approach for bioorganic and medicinal chemistry: theoretical and experimental assessment of a novel method for virtual screening and rational design of new lead anthelmintic

    Yovani Marrero‐Ponce, Juan A. Castillo‐Garit, Ervelio Olazábal +8

    Maqola20044 iqtibos
    ABI

  2. 3D-chiral (2.5) atom-based TOMOCOMD-CARDD descriptors: theory and QSAR applications to central chirality codification

    Yovani Marrero‐Ponce, Juan A. Castillo‐Garit, Eduardo A. Castro +2

    Maqola20084 iqtibos
    ABI

  3. Atom, atom-type, and total nonstochastic and stochastic quadratic fingerprints: a promising approach for modeling of antibacterial activity

    Yovani Marrero‐Ponce, Ricardo Medina, Francisco Torrens +3

    Maqola20053 iqtibos
    ABI

  4. 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

    Yovani Marrero‐Ponce, Juan A. Castillo‐Garit, Ervelio Olazábal +9

    Maqola20043 iqtibos
    ABI

  5. 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 σ-receptor antagonist activities

    Yovani Marrero‐Ponce, Humberto González‐Díaz, Vicente Romero Zaldívar +2

    Maqola20043 iqtibos
    ABI

  6. 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

    Yovani Marrero‐Ponce, Ricardo Medina Marrero, Francisco Torrens +5

    Maqola20053 iqtibos
    ABI

  7. Atom, Atom-Type, and Total Linear Indices of the “Molecular Pseudograph’s Atom Adjacency Matrix”: Application to QSPR/QSAR Studies of Organic Compounds

    Yovani Marrero‐Ponce, Juan A. Castillo‐Garit, Francisco Torrens +2

    MaqolaOchiq kirish20043 iqtibos
    ABI

  8. Protein Quadratic Indices of the “Macromolecular Pseudograph’s α-Carbon Atom Adjacency Matrix”. 1. Prediction of Arc Repressor Alanine-mutant’s Stability

    Yovani Marrero‐Ponce, Ricardo Medina Marrero, Eduardo A. Castro +4

    Sharh maqolaOchiq kirish20043 iqtibos
    ABI

  9. Nucleic Acid Quadratic Indices of the “Macromolecular Graph’s Nucleotides Adjacency Matrix”. Modeling of Footprints after the Interaction of Paromomycin with the HIV-1 Ψ-RNA Packaging Region

    Yovani Marrero‐Ponce, Delvin Nodarse, Humberto González‐Díaz +4

    MaqolaOchiq kirish20043 iqtibos
    ABI

  10. Atom-based non-stochastic and stochastic bilinear indices: Application to QSPR/QSAR studies of organic compounds

    Juan A. Castillo‐Garit, Oscar Martínez‐Santiago, Yovani Marrero‐Ponce +2

    Maqola20082 iqtibos
    ABI

  11. Protein linear indices of the ‘macromolecular pseudograph α-carbon atom adjacency matrix’ in bioinformatics. Part 1: Prediction of protein stability effects of a complete set of alanine substitutions in Arc repressor

    Yovani Marrero‐Ponce, Ricardo Medina, Juan A. Castillo‐Garit +3

    Maqola20052 iqtibos
    ABI

  12. QSAR Modeling ANTI-HIV-1 Activities by Optimization of Correlation Weights of Local Graph Invariants

    Eduardo A. Castro, Francisco Torrens, Andrey A. Toropov +2

    Maqola20042 iqtibos
    ABI

  13. New tyrosinase inhibitors selected by atomic linear indices-based classification models

    Gerardo M. Casañola‐Martín, Mahmud Tareq Hassan Khan, Yovani Marrero‐Ponce +3

    MaqolaComputational Drug Discovery MethodsBioorganic & Medicinal Chemistry Letters20051 iqtibos
    ABI

  14. Atom‐Based 2D Quadratic Indices in Drug Discovery of Novel Tyrosinase Inhibitors: Results of <i>In Silico</i> Studies Supported by Experimental Results

    Yovani Marrero Ponce, Mahmud Tareq Hassan Khan, Gerardo M. Casañola‐Martín +5

    MaqolaComputational Drug Discovery MethodsQSAR & Combinatorial Science20061 iqtibos
    ABI

  15. In silico Discovery of Novel Tyrosinase Inhibitors using Atom Based Linear Indices

    Gerardo M. Casañola‐Martín, Yovani Marrero‐Ponce, Mahmud Khan +3

    MaqolaOchiq kirishComputational Drug Discovery Methods20060 iqtibos
    ABI

  16. Prediction of Tyrosinase Inhibition Activity Using Atom‐Based Bilinear Indices

    Yovani Marrero‐Ponce, Mahmud Tareq Hassan Khan, Gerardo M. Casañola‐Martín +4

    MaqolaComputational Drug Discovery MethodsChemMedChem20070 iqtibos
    ABI

  17. Bond-based 2D TOMOCOMD-CARDD approach for drug discovery: aiding decision-making in ‘in silico’ selection of new lead tyrosinase inhibitors

    Yovani Marrero‐Ponce, Mahmud Tareq Hassan Khan, Gerardo M. Casañola‐Martín +5

    MaqolaComputational Drug Discovery MethodsJournal of Computer-Aided Molecular Design20070 iqtibos
    ABI