TY - JOUR
T1 - Preparation of translated, scaled, and rotated ATS Drugs 3D molecular structure for the validation of 3D moment invariants-based molecular descriptors
AU - Pratama, Satrya Fajri
AU - Muda, Azah Kamilah
AU - Choo, Yun Huoy
AU - Carbó-Dorca, Ramon
AU - Abraham, Ajith
N1 - Publisher Copyright:
© MIR Labs.
PY - 2018
Y1 - 2018
N2 - The campaign against drug abuse is fought by all countries, most notably on ATS drugs. The technical limitations of the current test kits to detect new brand of ATS drugs present a challenge to law enforcement authorities and forensic laboratories. Meanwhile, new molecular microscopy imaging devices which enabled the characterization of the physical 3D molecular structure have been recently introduced, and it can be used to remedy the limitations of existing drug test kits. Thus, a new type of 3D molecular structure representation, or molecular descriptors, technique should be developed to cater the 3D molecular structure acquired physically using these emerging molecular imaging devices. One of the applications of image processing methods to represent a 3D image is 3D moment invariants. However, since there are currently no repository or database available which provide the drugs imaging results obtained using these molecular imaging devices, this paper proposes to construct the simulated 3D drugs molecular structure to be used by these 3D moment invariants-based molecular descriptors techniques. These 3D molecular structures are also translated, scaled, and rotated to measure the invariance properties of the 3D moment invariants-based molecular descriptors. The drugs molecular structures are obtained from pihkal.info for the ATS drugs, while non-ATS drugs are obtained randomly from ChemSpider database.
AB - The campaign against drug abuse is fought by all countries, most notably on ATS drugs. The technical limitations of the current test kits to detect new brand of ATS drugs present a challenge to law enforcement authorities and forensic laboratories. Meanwhile, new molecular microscopy imaging devices which enabled the characterization of the physical 3D molecular structure have been recently introduced, and it can be used to remedy the limitations of existing drug test kits. Thus, a new type of 3D molecular structure representation, or molecular descriptors, technique should be developed to cater the 3D molecular structure acquired physically using these emerging molecular imaging devices. One of the applications of image processing methods to represent a 3D image is 3D moment invariants. However, since there are currently no repository or database available which provide the drugs imaging results obtained using these molecular imaging devices, this paper proposes to construct the simulated 3D drugs molecular structure to be used by these 3D moment invariants-based molecular descriptors techniques. These 3D molecular structures are also translated, scaled, and rotated to measure the invariance properties of the 3D moment invariants-based molecular descriptors. The drugs molecular structures are obtained from pihkal.info for the ATS drugs, while non-ATS drugs are obtained randomly from ChemSpider database.
KW - ATS drugs
KW - Dataset preparation
KW - Drugs identification and analysis
KW - Molecular structure representation
KW - Preprocessing
UR - http://www.scopus.com/inward/record.url?scp=85047731517&partnerID=8YFLogxK
M3 - Article
AN - SCOPUS:85047731517
SN - 2150-7988
VL - 10
SP - 57
EP - 67
JO - International Journal of Computer Information Systems and Industrial Management Applications
JF - International Journal of Computer Information Systems and Industrial Management Applications
ER -