We have developed protocols for rapidly quantifying the band intensities from nucleic acid chemical mapping gels at single-nucleotide resolution. These protocols are implemented in the software SAFA (semi-automated footprinting analysis) that can be downloaded without charge from http://safa.stanford.edu. The protocols implemented in SAFA have five steps: (i) lane identification, (ii) gel rectification, (iii) band assignment, (iv) model fitting and (v) band-intensity normalization. SAFA enables the rapid quantitation of gel images containing thousands of discrete bands, thereby eliminating a bottleneck to the analysis of chemical mapping experiments. An experienced user of the software can quantify a gel image in approximately 20 min. Although SAFA was developed to analyze hydroxyl radical (*OH) footprints, it effectively quantifies the gel images obtained with other types of chemical mapping probes. We also present a series of tutorial movies that illustrate the best practices and different steps in the SAFA analysis as a supplement to this protocol.
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http://dx.doi.org/10.1038/nprot.2008.134 | DOI Listing |
Molecules
January 2025
Leicester School of Pharmacy, De Montfort University, The Gateway, Leicester LE1 9BH, UK.
Photothermal reactions, involving both photochemical and thermal reaction steps, are the most abundant sequences in photochemistry. The derivation of their rate laws is standardized, but the integration of these rate laws has not yet been achieved. Indeed, the field still lacks integrated rate laws for the description of these reactions' behavior and/or identification of their reaction order.
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January 2025
Faculty of Dental Medicine, Carol Davila University of Medicine and Pharmacy, 8 Eroii Sanitari Street, 050474 Bucharest, Romania.
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View Article and Find Full Text PDFBiomolecules
January 2025
Institute of Chemical Biology, National Hellenic Research Foundation, 11635 Athens, Greece.
Protein-Protein Interaction (PPI) prediction plays a pivotal role in understanding cellular processes and uncovering molecular mechanisms underlying health and disease. Structure-based PPI prediction has emerged as a robust alternative to sequence-based methods, offering greater biological accuracy by integrating three-dimensional spatial and biochemical features. This work summarizes the recent advances in computational approaches leveraging protein structure information for PPI prediction, focusing on machine learning (ML) and deep learning (DL) techniques.
View Article and Find Full Text PDFSci Total Environ
January 2025
NGO "Ukrainian Researchers Society", Ukraine; Institute of Geography of National Academy of Sciences of Ukraine, Ukraine.
The war in Ukraine is having a dramatic impact on the physical, chemical and biological soil properties. A comprehensive study of the war-affected soils during the ongoing war is a challenging task owing to the many constrains that arise during fieldworks. Remote sensing data is the best solution for overall analysis of physical soil disturbances.
View Article and Find Full Text PDFRegul Toxicol Pharmacol
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Corteva Agriscience, Zuid-Oostsingel 24D, Bergen op Zoom 4611 BB, The Netherlands.
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