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Arup K. Ghose

Researcher at Cephalon

Publications -  52
Citations -  7185

Arup K. Ghose is an academic researcher from Cephalon. The author has contributed to research in topics: Anaplastic lymphoma kinase & Pharmacophore. The author has an hindex of 29, co-authored 52 publications receiving 6357 citations. Previous affiliations of Arup K. Ghose include Rensselaer Polytechnic Institute & Amgen.

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A knowledge-based approach in designing combinatorial or medicinal chemistry libraries for drug discovery. 1. A qualitative and quantitative characterization of known drug databases.

TL;DR: The effective range of physicochemical properties presented here can be used in the design of drug-like combinatorial libraries as well as in developing a more efficient corporate medicinal chemistry library.
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Atomic physicochemical parameters for three dimensional structure directed quantitative structure-activity relationships. 4. Additional parameters for hydrophobic and dispersive interactions and their application for an automated superposition of certain naturally occurring nucleoside antibiotics

TL;DR: Les valeurs d'hydrophobicite de 120 types d'atomes sont evalues pour 893 composes a partir des refractivites molaires de 538 composes and la methode de superposition a ete appliquee a des antibiotiques nucleosides naturels isabelle d'un nombre important de composes.
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Atomic physicochemical parameters for three-dimensional-structure-directed quantitative structure-activity relationships. 2. Modeling dispersive and hydrophic interactions

TL;DR: The degree of closeness of the linear relationship between the atomic water-1-octanol partition coefficients and molar refractivities has been checked, and the low value suggests that both parameters can be used to model the intermolecular interaction.
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Prediction of Hydrophobic (Lipophilic) Properties of Small Organic Molecules Using Fragmental Methods: An Analysis of ALOGP and CLOGP Methods

TL;DR: In this article, an extensive reparametrization of the atomic log P values and a detailed comparison of the performance of ALOGP and CLOGP methods on the Pomona Medchem database were presented.
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Atomic physicochemical parameters for three-dimensional structure-directed quantitative structure-activity relationships. I. Partition coefficients as a measure

TL;DR: Ghose and Ghose as discussed by the authors showed the necessity of atomic physicochemical parameters in three-dimensional receptor mapping and derived more refined and widely applicable hydrophobicity parameters, including carbon, hydrogen, oxygen, nitrogen, sulfur, and halogens.