Results 41 to 50 of about 15,493,907 (286)
Investigating transcription factor dynamics in health and disease using FRAP
FRAP analysis of GFP‐tagged transcription factors reveals how molecular mobility and target engagement change in response to drug treatment. By combining live‐cell imaging, quantitative model fitting, and statistical analysis, this approach uncovers transcription factor dynamics linked to disease mechanisms, providing a powerful framework for ...
Kannan Govindaraj +3 more
wiley +1 more source
Computer Aided Aroma Design. II. Quantitative structure-odour relationship [PDF]
Computer Aided Aroma Design (CAAD) is likely to become a hot issue as the REACH EC document targets many aroma compounds to require substitution. The two crucial steps in CAMD are the generation of candidate molecules and the estimation of properties ...
A.-Hassan Meniai +11 more
core +1 more source
Quantitative structure-property relationship studies for the prediction of the vapor pressure of volatile organic compounds [PDF]
A theoretical model (QSPR) using multiple linear regression analysis for predicting the vapor pressure (pv) of volatile organic compounds (VOCs) has been developed. A series of 51 compounds were analyzed by multiple linear regression analysis. First, the
Zine Mounia +3 more
doaj +1 more source
This review focuses on the role of autophagy and mitophagy in maintaining pancreatic β‐cell function and homeostasis. We discuss how genetic defects affecting these pathways contribute to the development of type 1, type 2, monogenic, and gestational diabetes. We further explore their potential as therapeutic targets. Created in BioRender.
Yunkyeong Lee +2 more
wiley +1 more source
Quantitative Structure–Property Relationship Modeling of Diverse Materials Properties
Quantitative Structure–Property Relationship Modeling of Diverse Materials ...
Tu Le (2085391) +3 more
core +1 more source
Quantitative Structure–Activity Relationship
Quantitative Structure–Activity Relationship (QSAR), or Hubungan Kuantitatif Struktur dan Aktivitas (HKSA), is a computational approach in medicinal chemistry used to understand the relationship between the chemical structure of compounds and their ...
Vioni Yulianti
core +7 more sources
Ligand‐dependent transcriptional heterogeneity in cell cycle gene expression delays G1/S entry
EGF and HRG induce distinct G1/S progression programs in ErbB2‐amplified BT474 breast cancer cells. Despite activating the potent ErbB2–ErbB3 heterodimer, HRG does not accelerate cell‐cycle entry. Instead, EGF promotes earlier restriction‐point passage via ERK–FOS signaling, whereas HRG activates the AKT–MYC axis, driving transcriptional heterogeneity ...
Ririn Rahmala Febri +5 more
wiley +1 more source
Encapsulins are protein nanocompartments that play an important role in iron storage. In the Myxococcus xanthus encapsulin system, two cargo proteins called EncB and EncC contribute to iron mineralization. Here, we show that EncB and EncC generate iron‐containing minerals with distinct chemical compositions, suggesting that the composition of stored ...
Harry B. McDowell +2 more
wiley +1 more source
Quantitative structure-property relationship models [PDF]
Preliminarna procjena određenih kemijskih svojstava bez direktne sinteze spoja igra vrlo važnu ulogu u modernoj kemiji. Takva evaluacija smanjuje troškove razvoja novih spojeva potiskujući teoretski neuspješne kandidate koji bi morali biti pripremljeni i
Nikolaš, Ljubica
core +1 more source
Minimum total irregularity index of tricyclic graphs
The quantitative characterization of the topological structures of irregular graphs has been demonstrated through several irregularity measures. In the literature, not only different chemical and physical properties can be well comprehended but also ...
Hassan Ahmed, Akhlaq Ahmad Bhatti
doaj +1 more source

