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Antidotes01:17

Antidotes

Antidotes are medicinal substances used to counteract the harmful effects of toxins or drugs in the body. They function in various ways, each uniquely designed to combat specific toxic compounds.
Specific antidotes operate by inhibiting the enzymes that control biochemical pathways, reducing the production of harmful metabolites.
An example of an antidote is atropine, which counteracts the detrimental effects of cholinesterase inhibitors. It achieves this by deactivating muscarinic receptors,...
Classification of Titrimetric Analysis Based on Reaction Types01:01

Classification of Titrimetric Analysis Based on Reaction Types

Titrimetric analysis in solution chemistry involves measuring the volume of solutions and is often called volumetric analysis. The standard solution of known concentration in the burette is called the titrant, whereas the solution of unknown concentration in the flask is called the analyte, or titrand. Titrimetric analyses can be classified into four types based on the reactions between the titrant and analyte.
Titrations between an acid and a base lead to neutralization reactions that form...
Toxidromes: Clinical Features01:30

Toxidromes: Clinical Features

Toxidromes are specific patterns of symptoms resulting from toxic substance exposure. They help in the identification and treatment of poisoning. The symptoms of each toxidrome group indicate poisoning by a certain class of chemicals or drugs.1. Sympathomimetic: Stimulates the sympathetic nervous system. Symptoms include agitation, increased heart rate (HR), blood pressure (BP), respiratory rate (RR), temperature, and pupil size. Drugs like cocaine and amphetamines, along with tremors and...

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グラフベース記述子と機械学習を用いた細胞毒性化合物定量研究

Shabbir Ahmad1, Sana Javed1, Sadia Khalid1

  • 1Department of Mathematics, COMSATS University Islamabad, Lahore Campus, Pakistan.

Scientific reports
|January 12, 2026
PubMed
まとめ

がん治療薬開発において、トポロジカル極性表面積(Top_PSA)のような薬物特性の予測は極めて重要である。本研究は、分子記述子を用いたTop_PSAの予測において、堅牢な前処理とLASSO回帰が効果的であることを示している。

キーワード:
細胞毒性薬物LASSO回帰機械学習分子記述子外れ値調整主成分分析(PCA)回帰モデルリッジ回帰トポロジカル指数

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