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Narayanan Ramamurthi

Tennessee Cancer SpecialistsIN
ORCID0009-0001-1067-9040
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Citations
204

via OpenAlex

Publications
4

About

Narayanan Ramamurthi is a researcher with a focus on in silico ADME modeling and prediction models. With a publication record spanning four works between 2004 and 2008, he has explored various computational methods for predicting human intestinal absorption, blood–brain barrier permeation, and hERG potassium channel blockade. His work aims to develop predictive models for pharmacokinetic properties.

Research areas

  • Computer science
  • Machine learning
  • Artificial intelligence
  • Data mining
  • Biology

Publications (4)

Sorted by most cited.

  1. In silico ADME modelling: prediction models for blood–brain barrier permeation using a systematic variable selection method

    2005

    View DOI
    72 cites

  2. <i>In Silico</i> ADME Modeling 3: Computational Models to Predict Human Intestinal Absorption Using Sphere Exclusion and kNN QSAR Methods

    2007

    View DOI
    32 cites

  3. Prediction of hERG Potassium Channel Blockade Using kNN‐QSAR and Local Lazy Regression Methods

    2008

    View DOI
    16 cites

  4. In silico ADME modeling: QSPR models for the binding of β- lactams to human serum proteins using genetic algorithms

    2004

    View DOI
    3 cites