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Mukesh Yadav

Devi Ahilya VishwavidyalayaIN
ORCID0000-0003-0265-5142
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14

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Citations
416

via OpenAlex

Publications
16

About

Mukesh Yadav is an academic researcher affiliated with Devi Ahilya Vishwavidyalaya. With a focus on computational life sciences, Yadav's research primarily concerns the development of quantitative structure-activity relationship (QSAR) models and their applications in medicinal chemistry. Spanning 16 works across 2012 to 2017, his work explores the prediction of biological activity and structure-based drug design.

Research areas

  • Medicine
  • Chemistry
  • Biology
  • Gene
  • Biochemistry

Publications (16)

Sorted by most cited.

  1. Development of MLR and SVM Aided QSAR Models to Identify Common SAR of GABA Uptake Herbal Inhibitors used in the Treatment of Schizophrenia.

    Current neuropharmacology2017journal article

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    30 cites

  2. Common SAR Derived from Linear and Non-linear QSAR Studies on AChE Inhibitors used in the Treatment of Alzheimer's Disease.

    Current neuropharmacology2017journal article

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    12 cites

  3. Optimization of Gaussian Kernel Function in Support Vector Machine aided QSAR studies of C-aryl glucoside SGLT2 inhibitors

    2013

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    11 cites

  4. Global QSAR modeling of logP values of phenethylamines acting as adrenergic alpha-1 receptor agonists.

    Interdisciplinary sciences, computational life sciences2013journal article

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    8 cites

  5. Identification of LOGP Values and Electronegativities As Structural Insights to Model Inhibitory Activity of HIV-1 Capsid Inhibitors - A SVM and MLR Aided QSAR Studies

    2012

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    7 cites

  6. Common SAR Derived from Multiple QSAR Models on Vorinostat Derivatives Targeting HDACs in Tumor Treatment.

    Current pharmaceutical design2016journal article

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    6 cites

  7. Overlapping structure features selection in linear and non-linear QSAR

    2013

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    3 cites

  8. Erratum to: Identification and characterization of alkaline protease producing bacillus firmus species EMBS023 by 16S rRNA gene sequencing.

    Interdisciplinary sciences, computational life sciences2015journal article

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    0 cites

  9. Mechanistics in drug design - experimental molecular biology vs. molecular modeling.

    Current topics in medicinal chemistry2015journal article

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    0 cites

  10. Multiclass comparative virtual screening to identify novel Hsp90 inhibitors: a therapeutic breast cancer drug target.

    Current topics in medicinal chemistry2015journal article

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    0 cites

  11. Isolation and characterization of a novel chlorpyrifos degrading flavobacterium species EMBS0145 by 16S rRNA gene sequencing.

    Interdisciplinary sciences, computational life sciences2014journal article

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    0 cites

  12. Identification and characterization of alkaline protease producing Bacillus firmus species EMBS023 by 16S rRNA gene sequencing.

    Interdisciplinary sciences, computational life sciences2014journal article

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    0 cites

  13. PDB explorer -- a web based algorithm for protein annotation viewer and 3D visualization.

    Interdisciplinary sciences, computational life sciences2014journal article

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    0 cites

  14. Structural characterization and mutational assessment of podocin - a novel drug target to nephrotic syndrome - an in silico approach.

    Interdisciplinary sciences, computational life sciences2014journal article

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    0 cites

  15. Computational evaluation of new homologous down regulators of Translationally Controlled Tumor Protein (TCTP) targeted for tumor reversion.

    Interdisciplinary sciences, computational life sciences2013journal article

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    0 cites

  16. Binding modes and pharmacophoric features of muscarinic antagonism and β2 agonism (MABA) conjugates.

    Current topics in medicinal chemistry2013journal article

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    0 cites