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Akademický článek

NO classifier prediction of anti neuroinflammatory agents using text mining of 3D molecular fingerprints

Autor: Si Eun Lee, Sangjin Ahn, Surendra Kumar, Mi-hyun Kim

Publikováno v: Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)

Abstract CNS Drug discovery has been challenging due to the lack of clarity on CNS diseases’ basic biological and pathological mechanisms. Despite the difficulty, some CNS drugs have been developed based on phenotypic effects. Herein, we propose a

Externí odkaz: https://doaj.org/article/387d34485c6145e299e895f5fcaf31e0

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Akademický článek

Establishing Joint Orientation Angles of the Limbs in Korean Raccoon Dogs (Nyctereutes procyonoides koreensis) Using Computed Tomographic Imaging

Autor: Seongju Ko, Sangjin Ahn, Ho-Hyun Kwak, Heung-Myong Woo, Junhyung Kim

Publikováno v: Animals, Vol 14, Iss 19, p 2827 (2024)

Studies are being conducted on the anatomical structures of various wild animals. Despite the ecological importance of the Korean raccoon dog (Nyctereutes procyonoides koreensis), limited research has been conducted on its anatomical structure. This

Externí odkaz: https://doaj.org/article/2c095ef6765c41afbc2a5506bccebce3

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Akademický článek

Prediction of chemical warfare agents based on cholinergic array type meta-predictors

Autor: Surendra Kumar, Chandni Kumari, Sangjin Ahn, Hyoungrae Kim, Mi-hyun Kim

Publikováno v: Scientific Reports, Vol 12, Iss 1, Pp 1-11 (2022)

Abstract Molecular insights into chemical safety are very important for sustainable development as well as risk assessment. This study considers how to manage future upcoming harmful agents, especially potentially cholinergic chemical warfare agents

Externí odkaz: https://doaj.org/article/743d32cda7eb45b5b94475b558980f90

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Akademický článek

Random-forest model for drug–target interaction prediction via Kullbeck–Leibler divergence

Autor: Sangjin Ahn, Si Eun Lee, Mi-hyun Kim

Publikováno v: Journal of Cheminformatics, Vol 14, Iss 1, Pp 1-13 (2022)

Abstract Virtual screening has significantly improved the success rate of early stage drug discovery. Recent virtual screening methods have improved owing to advances in machine learning and chemical information. Among these advances, the creative ex

Externí odkaz: https://doaj.org/article/9646c140744e4558ad0719cadde3582d

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