An activity prediction model using shape-based descriptor method

Hentabli Hamza; Naomie Salim; Faisal Saeed

doi:10.11113/jt.v78.9245

An activity prediction model using shape-based descriptor method

Hentabli Hamza^*, Naomie Salim, Faisal Saeed

^*Corresponding author for this work

Universiti Teknologi Malaysia

Research output: Contribution to journal › Article › peer-review

1 Citation (SciVal)

Original language	English
Pages (from-to)	135-142
Number of pages	8
Journal	Jurnal Teknologi
Volume	78
Issue number	6-12
DOIs	https://doi.org/10.11113/jt.v78.9245
Publication status	Published (VoR) - 2016

Funding

This work is supported by the Ministry of Higher Education (MOHE) and Research Management Centre (RMC) at the Universiti Teknologi Malaysia (UTM) under the Fundamental Research Grant Scheme (FRGS) Category (VOT R.J130000.7828.4F741).

Funders	Funder number
Research Management Centre
Ministry of Higher Education, Malaysia
Universiti Teknologi Malaysia	VOT R.J130000.7828.4F741

Keywords

Activity prediction model
Bioactive molecules
Multilevel neighborhoods of atoms
Shape-based descriptors

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10.11113/jt.v78.9245

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keywords = "Activity prediction model, Bioactive molecules, Multilevel neighborhoods of atoms, Shape-based descriptors",

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AU - Hamza, Hentabli

AU - Salim, Naomie

AU - Saeed, Faisal

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KW - Bioactive molecules

KW - Multilevel neighborhoods of atoms

KW - Shape-based descriptors

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An activity prediction model using shape-based descriptor method

Funding

Keywords

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