Results 101 to 110 of about 1,546,757 (162)

Systematic review on the application of machine learning to quantitative structure-activity relationship modeling against Plasmodium falciparum. [PDF]

Mol Divers, 2022
Oguike OE, Ugwuishiwu CH, Asogwa CN, Nnadi CO, Obonga WO, Attama AA.   +5 more
europepmc   +1 more source

Quantitative structure-activity relationships for herbicidal 2-difluoromethylthio-4,6-bis(monoalkylamino)-1,3,5-triazines.

, 1987
Koichi Morita, Takenao NAGARE, Y. Hayashi   +2 more
openalex   +2 more sources

Quantitative Structure-activity Relationship Study of Novel α_1a-selective Adrenoceptor Antagonists [PDF]

, 2001
Prithvi Singh, Rajesh Kumar
openalex   +1 more source

Efficiency and Quantitative Structure-Activity Relationship of Monoaromatics Oxidation by Quinone-Activated Persulfate. [PDF]

Front Chem, 2021
Shi J, Long T, Zhou Y, Wang L, Jiang C, Pan D, Zhu X.   +6 more
europepmc   +1 more source

Quantitative Structure-activity Relationships of 2-[4-(2-Quinoxalinyloxy)phenoxy]-propanoic Acid Derivatives, Using a Convenient Parameter, Retention Volume in High-performance Liquid Chromatography

, 1986
Kenzi Makino, Gozyo Sakata, Yasuo KAWAMURA, Takashi IKAI   +3 more
openalex   +2 more sources

Quantitative structure activity relationship (QSAR) studies on anti-HIV-1 and cytotoxic arylpyrrolylsulfones [PDF]

, 2001
Ankita Srivastava, A. A. Khan, M. Shakil
openalex   +1 more source

Comprehensive strategies of machine-learning-based quantitative structure-activity relationship models. [PDF]

iScience, 2021
Mao J, Akhtar J, Zhang X, Sun L, Guan S, Li X, Chen G, Liu J, Jeon HN, Kim MS, No KT, Wang G.   +11 more
europepmc   +1 more source

Studies on herbicide 4-pyridone-3-carboxamide derivatives. 1. Herbicidal activity under paddy conditions and quantitative structure-activity relationships.

, 1990
Yasuo Morishima, Hirokazu Osabe, Y Goto, Kazuhisa Masamoto, Hiroshi Yagihara   +4 more
openalex   +2 more sources

Quantitative Structure-Activity Relationship Models to Predict Cardiac Adverse Effects. [PDF]

Chem Res Toxicol
Mou Z, Volarath P, Racz R, Cross KP, Girireddy M, Chakravarti S, Stavitskaya L.   +6 more
europepmc   +1 more source

A Deep Learning-Based Quantitative Structure-Activity Relationship System Construct Prediction Model of Agonist and Antagonist with High Performance. [PDF]

Int J Mol Sci, 2022
Matsuzaka Y, Uesawa Y.
europepmc   +1 more source