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Bruno Louis

Government Medical College ThiruvananthapuramIN
ORCID0000-0001-5917-6586
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Citations
98

via OpenAlex

Publications
8

About

Bruno Louis is a researcher affiliated with Government Medical College Thiruvananthapuram. With an extensive publication record spanning over five decades, from 1970 to 2023, he has made significant contributions to the fields of pharmaceutical sciences and computational life sciences. His research focuses on predicting intrinsic solubility, estimating pharmacokinetic properties, and modeling quantitative structure-activity relationships (QSARs) for various compounds.

Research areas

  • Quantitative structure–activity relationship
  • Chemistry
  • Biology
  • Biological system
  • Mathematics

Publications (8)

Sorted by most cited.

  1. Prediction of intrinsic solubility of generic drugs using MLR, ANN and SVM analyses

    European Journal of Medicinal Chemistry1970journal article

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    52 cites

  2. QSPR study on the estimation of solubility of drug-like organic compounds: A case of barbiturates

    Chemical Biology and Drug Design1970journal article

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    6 cites

  3. Quantitative structure-pharmacokinetic relationship (QSPkR) analysis of the volume of distribution values of anti-infective agents from J group of the ATC classification in humans

    Acta Pharmaceutica1970journal article

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    5 cites

  4. Prediction of permeability of drug-like compounds across polydimethylsiloxane membranes by machine learning methods

    Journal of Pharmaceutical Investigation1970journal article

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    3 cites

  5. Quantitative Structure Activity Relationship Analysis of Antiviral Activity of PF74 Type HIV-1 Capsid Protein Inhibitors by Simplex Representation of Molecular Structure

    Polycyclic Aromatic Compounds2023journal article

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    1 cites

  6. Prediction of human volume of distribution values for drugs using linear and nonlinear quantitative structure pharmacokinetic relationship models

    Interdisciplinary Sciences: Computational Life Sciences1970journal article

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    0 cites

  7. QSAR modeling of aquatic toxicity of aromatic aldehydes using artificial neural network (ANN) and multiple linear regression (MLR)

    Journal of the Indian Chemical Society1970journal article

    0 cites

  8. The topology of molecule and its lipophilicity

    Current Computer-Aided Drug Design1970journal article

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    0 cites