Results 161 to 170 of about 322,559 (240)

An Empirical Quantitative Structure-Activity Relationship Equation Assists the Discovery of High-Affinity Phosphodiesterase 4D Inhibitors as Leads to PET Radioligands. [PDF]

J Med Chem, 2023
Jiang M, Lu S, Telu S, Pike VW.
europepmc   +1 more source

Nonlinear Quantitative Structure−Activity Relationship for the Inhibition of Dihydrofolate Reductase by Pyrimidines

, 1996
Jonathan D. Hirst
openalex   +1 more source

Quantitative structure‐activity relationships: sulfonate esters in the local lymph node assay [PDF]

, 2000
David W. Roberts, D. A. Basketter
openalex   +1 more source

Engineering a Single Amino Acid Bionanozyme for Ultrasensitive Detection of Biomarkers: A WHO‐REASSURE‐ Aligned Approach

Advanced Functional Materials, EarlyView.
A unique 2D bionanozyme, engineered from a single amino acid and copper ions, demonstrates peroxidase‐mimicking catalytic activity. This efficient and simple bionanozyme allows for ultrasensitive, equipment‐free visual detection of key biomarkers in both test and real samples, meeting the WHO‐REASSURE standards for practical diagnostic applications ...
Subrat Vishwakarma, Om Shanker Tiwari, Vijay Kumar Patel, Ruchi Shukla, Ehud Gazit, Pandeeswar Makam   +5 more
wiley   +1 more source

Quantitative Structure-Activity Relationship (QSAR) Modeling of Chiral CCR2 Antagonists with a Multidimensional Space of Novel Chirality Descriptors. [PDF]

Molecules
Natarajan R, Natarajan GS, Basak SC.
europepmc   +1 more source

Understanding and Addressing the Performance Asymmetry Issue in Semitransparent Laminated Organic Photovoltaic Devices

Advanced Functional Materials, EarlyView.
This work addresses the challenge of current–voltage asymmetry in scalable laminated semitransparent organic photovoltaics (OPVs) for indoor applications. Vertical stratification of materials is shown to create an energy barrier, leading to performance differences under different illumination directions.
Gulzada Beket, Anton Zubayer, Leonie Pap, Huagui Lai, Samiran Bairagi, Nakul Jain, Jochen Stahn, Fan Fu, Kenneth Järrendahl, Fredrik Eriksson, Xabier Rodríguez‐Martínez, Olle Inganäs, Uli Würfel, Thomas Österberg, Jonas Bergqvist, Feng Gao   +15 more
wiley   +1 more source

Deep Learning Combined with Quantitative Structure‒Activity Relationship Accelerates De Novo Design of Antifungal Peptides. [PDF]

Adv Sci (Weinh)
Yin K, Li R, Zhang S, Sun Y, Huang L, Jiang M, Xu D, Xu W.   +7 more
europepmc   +1 more source

Embedded 3D‐Coaxial Bioprinting of Stenotic Brain Vessels with a Mechanically Enhanced Extracellular Matrix Bioink for Investigating Hemodynamic Force‐Induced Endothelial Responses

Advanced Functional Materials, EarlyView.
In this study, a physically enhanced vascular dECM bioink and used 3D‐coaxial bioprinting are developed to fabricate mature brain blood vessels for cerebral atherosclerosis research. This model demonstrates that vascular geometry‐induced hemodynamic changes trigger vascular inflammation, ensuring its potential for cerebrovascular research.
Wonbin Park, Min‐Ju Choi, Jae‐Seong Lee, Minjun Ahn, Wonil Han, Ge Gao, Dong‐Woo Cho, Byoung Soo Kim   +7 more
wiley   +1 more source

Side‐Chains Engineered Self‐Assembly of Ortho‐Benzodipyrrole‐Based Acceptors: Comprehensive Exploration of Structure‐Interface‐Photovoltaics Correlations

Advanced Functional Materials, EarlyView.
The side‐chain configuration in the bay region of C‐shaped ortho‐benzodipyrrole‐based non‐fullerene acceptors plays a crucial role in their self‐assembly, single‐crystal structures, and optoelectronic properties. The closely correlated molecular structure and performance underscore the importance of minimizing A–A self‐aggregation and enhancing D–A ...
Yung‐Jing Xue, Chen‐Yu Chang, Chieh‐Ming Hung, Chi‐Chun Tseng, Je‐Wei Chang, Chun‐Jen Su, Chia‐Lin Tsai, Han‐Cheng Lu, Kuo‐Hsiu Huang, Kuei‐Yu Tai, Chien‐Yi Ku, Chia‐Shing Wu, Su‐Ying Chien, Shang‐Da Yang, Bing‐Huang Jiang, Chih‐Ping Chen, Pi‐Tai Chou, U‐Ser Jeng, Yen‐Ju Cheng   +18 more
wiley   +1 more source

Quantitative structure-activity relationship model to predict the stability constant of uranium coordination complexes for novel uranium adsorbent design. [PDF]

RSC Adv
Shin HK, Sihn Y.
europepmc   +1 more source