A Quantitative Structure-Activity Relationship for Human Plasma Protein Binding: Prediction, Validation and Applicability Domain. [PDF]
Adv Pharm Bull, 2023 Khaouane A, Ferhat S, Hanini S.
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Removing Oxide Layers and Retaining Oxide‐Free Steel Surfaces by Polishing in Oxygen‐Free Atmosphere
Advanced Engineering Materials, EarlyView.In this study, the efficacy of wet mechanical polishing under an oxygen‐free atmosphere for deoxidation and the retention of an oxide‐free steel surface are elucidated using X‐ray photoelectron spectroscopy. The methodology proved successful; however, the results were highly dependent on the preparation of the solvents used to clean the samples after ...
Friedrich Bürger +2 more
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Accelerating Discovery of Leukemia Inhibitors Using AI-Driven Quantitative Structure-Activity Relationship: Algorithm Development and Validation. [PDF]
JMIR AIKakraba S +2 more
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, 2007 A quantitative structure-antioxidant activity relationship (QSAR) study of 27 flavonoids was performed using the partial least square response surface multiple linier regression method. The chemical structures of the flavonoids have been characterized by
, Fajar Ramadhitya Putera, Anas Subarnas, Abdul Mutalib, and Mutak
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HomoSAR: An Integrated Approach Using Homology Modeling and Quantitative Structure-Activity Relationship for Activity Prediction of Peptides [PDF]
, 2008 Raghuvir R. S. Pissurlenkar +1 more
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Assessing Altered Coating Adhesion on Plasma‐Deoxidized Surfaces Under Oxygen‐Free Conditions
Advanced Engineering Materials, EarlyView.This study demonstrates the effectiveness of atmospheric pressure plasma pretreatment in modifying silicon and stainless steel surfaces to improve adhesion. Argon‐hydrogen plasma increases surface roughness and improves adhesion strength, whereas pure argon results in smoother surfaces and structural changes.
Selina Raumel +6 more
wiley +1 more source
Machine Learning-Enhanced Quantitative Structure-Activity Relationship Modeling for DNA Polymerase Inhibitor Discovery: Algorithm Development and Validation. [PDF]
JMIR AIKakraba S +5 more
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Quantitative structure-activity relationship modeling for predication of inhibition potencies of imatinib derivatives using SMILES attributes. [PDF]
Sci Rep, 2022 Hamzehali H, Lotfi S, Ahmadi S, Kumar P.
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