Literature DB >> 27464015

Quantitative Structure-Fluorescence Property Relationship Analysis of a Large BODIPY Library.

Andreas Schüller1,2, Garrett Benjamin Goh3, Hanjo Kim2,3, Jun-Seok Lee4, Young-Tae Chang5,6,7.   

Abstract

A quantitative structure-fluorescence property relationship (QSPR) analysis of a large 288-membered library based on a single fluorescent BODIPY scaffold is presented for the first time. BODIPY is a versatile fluorescent scaffold with outstanding photophysical properties. Absorption (λabs ) and fluorescence emission (λem ) wavelength maxima were modeled with help of stepwise multiple linear regression (MLR) and support vector regression (SVR). The models were rigorously validated by 10-times 10-fold cross-validation (CV), y-scrambling CV and with an external validation set. Non-linear SVR models (R(2) =0.92 and Q(2) =0.71 for λabs ; R(2) =0.89 and Q(2) =0.69 for λem ) performed significantly better than linear models. A small root mean squared error (RMSE) of 5.62 nm and 11.07 nm was achieved for λabs and λem , respectively, and confirmed by external validation. A novel intramolecular charge transfer descriptor was developed based on the QSPR analysis and its inclusion in the modeling significantly improved models of λem . We conclude that QSPR is a useful tool for modeling λabs and λem of BODIPY fluorophores and suggest QSPR as an ideal partner for the design of compounds with tailored fluorescence properties in a diversity-oriented fluorescence library approach (DOFLA).
Copyright © 2010 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Keywords:  Absorption/fluorescence emission wavelength (λabs/λem); DOFLA; Multiple linear regression (MLR); QSPR, BODIPY; Support vector regression (SVR)

Year:  2010        PMID: 27464015     DOI: 10.1002/minf.201000089

Source DB:  PubMed          Journal:  Mol Inform        ISSN: 1868-1743            Impact factor:   3.353


  4 in total

1.  Predicting the membrane permeability of organic fluorescent probes by the deep neural network based lipophilicity descriptor DeepFl-LogP.

Authors:  Kareem Soliman; Florian Grimm; Christian A Wurm; Alexander Egner
Journal:  Sci Rep       Date:  2021-03-26       Impact factor: 4.379

2.  More Is Not Always Better: Local Models Provide Accurate Predictions of Spectral Properties of Porphyrins.

Authors:  Aleksey I Rusanov; Olga A Dmitrieva; Nugzar Zh Mamardashvili; Igor V Tetko
Journal:  Int J Mol Sci       Date:  2022-01-21       Impact factor: 5.923

3.  De novo creation of a naked eye-detectable fluorescent molecule based on quantum chemical computation and machine learning.

Authors:  Masato Sumita; Kei Terayama; Naoya Suzuki; Shinsuke Ishihara; Ryo Tamura; Mandeep K Chahal; Daniel T Payne; Kazuki Yoshizoe; Koji Tsuda
Journal:  Sci Adv       Date:  2022-03-09       Impact factor: 14.136

4.  A Structure-Activity Relationship Study of Bimodal BODIPY-Labeled PSMA-Targeting Bioconjugates.

Authors:  Tobias Stemler; Caroline Hoffmann; Ina M Hierlmeier; Stephan Maus; Elmar Krause; Samer Ezziddin; Gregor Jung; Mark D Bartholomä
Journal:  ChemMedChem       Date:  2021-05-24       Impact factor: 3.466

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.