How an electric field can modulate the metal ion selectivity of protein binding sites: insights from DFT/PCM calculations

2018 ◽  
Vol 20 (38) ◽  
pp. 24633-24640 ◽  
Author(s):  
Todor Dudev ◽  
Sonia Ilieva ◽  
Lyudmila Doudeva
Keyword(s):  
Electric Field ◽  
Protein Binding ◽  
Binding Site ◽  
Binding Sites ◽  
Metal Ion ◽  
Ion Selectivity ◽  
Protein Binding Site ◽  
Protein Binding Sites ◽  
Metal Selectivity ◽  
Metal Ion Selectivity

An electric field (internal or external) is a potent force that can modulate the metal selectivity of a protein binding site.

scholarly journals Two mechanisms of ion selectivity in protein binding sites

2010 ◽  
Vol 107 (47) ◽  
pp. 20329-20334 ◽  
Author(s):  
H. Yu ◽  
S. Y. Noskov ◽  
B. Roux
Keyword(s):  
Protein Binding ◽  
Binding Sites ◽  
Ion Selectivity ◽  
Protein Binding Sites

Factors Controlling Metal-Ion Selectivity in the Binding Sites of Calcium-Binding Proteins. The Metal-Binding Properties of Amide Donors. A Crystallographic and Thermodynamic Study

2005 ◽  
Vol 44 (23) ◽  
pp. 8495-8502 ◽  
Author(s):  
Laura A. Clapp ◽  
Chynthia J. Siddons ◽  
Jason R. Whitehead ◽  
Donald G. VanDerveer ◽  
Robin D. Rogers ◽  
...  
Keyword(s):  
Metal Binding ◽  
Binding Sites ◽  
Calcium Binding ◽  
Metal Ion ◽  
Binding Proteins ◽  
Ion Selectivity ◽  
Calcium Binding Proteins ◽  
Thermodynamic Study ◽  
Binding Properties ◽  
Metal Ion Selectivity

scholarly journals Spatiotemporal identification of druggable binding sites using deep learning

2020 ◽  
Author(s):  
Igor Kozlovskii ◽  
Petr Popov
Keyword(s):  
Protein Binding ◽  
Binding Site ◽  
Binding Sites ◽  
Large Scale ◽  
Specific Binding ◽  
Three Dimensional ◽  
Growth Factor Receptor ◽  
Protein Binding Sites ◽  
Binding Site Identification ◽  
Scale Detection

Identification of novel protein binding sites expands «druggable genome» and opens new opportunities for drug discovery. Generally, presence or absence of a binding site depends on the three-dimensional conformation of a protein, making binding site identification resemble to object detection problem in computer vision. Here we introduce a computational approach for the large-scale detection of protein binding sites, named BiteNet, that considers protein conformations as the 3D-images, binding sites as the objects on these images to detect, and conformational ensembles of proteins as the 3D-videos to analyze. BiteNet is suitable for spatiotemporal detection of hard-to-spot allosteric binding sites, as we showed for conformation-specific binding site of the epidermal growth factor receptor, oligomer-specific binding site of the ion channel, and binding sites in G protein-coupled receptors. BiteNet outperforms state-of-the-art methods both in terms of accuracy and speed, taking about 1.5 minute to analyze 1000 conformations of a protein with 2000 atoms. BiteNet is available at https://github.com/i-Molecule/bitenet.

scholarly journals Computational model predicts protein binding sites of a luminescent ligand equipped with guanidiniocarbonyl-pyrrole groups

2021 ◽  
Author(s):  
Neda Rafieiolhosseini ◽  
Matthias Killa ◽  
Niklas Tötsch ◽  
Jean-Noël Grad ◽  
Alexander Höing ◽  
...  
Keyword(s):  
Protein Binding ◽  
Computational Model ◽  
Binding Site ◽  
Binding Sites ◽  
Binding Proteins ◽  
Computational Approach ◽  
Hybrid Compound ◽  
Protein Binding Sites ◽  
Regulatory Processes ◽  
Enormous Number

The 14-3-3 protein family, one of the first discovered phosphoserine/phosphothreonine binding proteins, has attracted interest not only because of its important role in the cell regulatory processes but also due to its enormous number of interactions with other proteins. Here, we use a computational approach to find the binding sites of the designed hybrid compound featuring aggregation-induced emission luminophores as a potential supramolecular ligand for 14-3-3z in the presence and absence of C-Raf peptides. Our results suggest that the area above and below the central pore of the dimeric 14-3-3z protein is the most probable binding site for the ligand. Moreover, we predict that the position of the ligand is sensitive to the presence of phosphorylated C-Raf peptides.

TORSIONAL RESONANCE MODE ATOMIC FORCE MICROSCOPY OF A PROTEIN–DNA COMPLEX

NANO ◽  
2008 ◽  
Vol 03 (06) ◽  
pp. 443-448 ◽  
Author(s):  
GILBERTO WEISSMÜLLER ◽  
AYHAN YURTSEVER ◽  
LILIAN T. COSTA ◽  
ANA B. F. PACHECO ◽  
PAULO M. BISCH ◽  
...  
Keyword(s):  
Protein Binding ◽  
Binding Site ◽  
Binding Sites ◽  
Physical Map ◽  
Resonance Mode ◽  
Dna Molecules ◽  
Image Processing Algorithm ◽  
Protein Binding Sites ◽  
Curved Dna ◽  
Atomic Force

Precise mapping of protein-binding sites on DNA is an important application of atomic force microscope (AFM) imaging. For a reliable measurement of distances on curved DNA molecules, an image-processing algorithm is required, which extracts the DNA contour from topographic AFM data. To this end we implemented an image analysis method providing an efficient way to obtain the contour together with a physical map of single and multiple protein-binding sites. This method relies on a calculation of the height profile along the DNA fragment, allowing one to determine the DNA length and the relative position of the binding site occupied by a protein. As a first test, complexes of the LexA repressor protein from the Escherichia coli SOS system and DNA fragments containing a specific LexA binding site (recA operator) were imaged by the torsional resonance mode (TR mode) and analyzed using the specialized algorithm. A topographic height of less than 0.5 nm of the DNA molecules indicates repulsive imaging conditions.

scholarly journals Spatiotemporal identification of druggable binding sites using deep learning

2020 ◽  
Vol 3 (1) ◽  
Author(s):  
Igor Kozlovskii ◽  
Petr Popov
Keyword(s):  
Protein Binding ◽  
Binding Site ◽  
Binding Sites ◽  
Large Scale ◽  
Specific Binding ◽  
Three Dimensional ◽  
Growth Factor Receptor ◽  
Protein Binding Sites ◽  
Binding Site Identification ◽  
Scale Detection

Abstract Identification of novel protein binding sites expands druggable genome and opens new opportunities for drug discovery. Generally, presence or absence of a binding site depends on the three-dimensional conformation of a protein, making binding site identification resemble the object detection problem in computer vision. Here we introduce a computational approach for the large-scale detection of protein binding sites, that considers protein conformations as 3D-images, binding sites as objects on these images to detect, and conformational ensembles of proteins as 3D-videos to analyze. BiteNet is suitable for spatiotemporal detection of hard-to-spot allosteric binding sites, as we showed for conformation-specific binding site of the epidermal growth factor receptor, oligomer-specific binding site of the ion channel, and binding site in G protein-coupled receptor. BiteNet outperforms state-of-the-art methods both in terms of accuracy and speed, taking about 1.5 minutes to analyze 1000 conformations of a protein with ~2000 atoms.

Nuclear protein-binding sites in a transcriptional control region of the rabbit alpha-globin gene

1993 ◽  
Vol 13 (9) ◽  
pp. 5439-5449
Author(s):  
S E Yost ◽  
B Shewchuk ◽  
R Hardison
Keyword(s):  
Protein Binding ◽  
Binding Site ◽  
Binding Sites ◽  
Nuclear Protein ◽  
Cpg Island ◽  
Globin Gene ◽  
Protein Binding Sites ◽  
Recognition Sites ◽  
Nuclear Extracts ◽  
Alpha Globin

The 5'-flanking and internal regions of the rabbit alpha-globin gene, which constitute a CpG island, are required for enhancer-independent expression in transfected cells. In this study, electrophoretic mobility shift assays revealed that a battery of nuclear proteins from both erythroid and nonerythroid cells bind specifically to these regulatory regions. Assays based on exonuclease III digestion, methylation interference, and DNase I footprinting identified sequences bound by proteins in crude nuclear extracts and by purified transcription factor Sp1. In the 5' flank, recognition sites for the transcription factors alpha-IRP (positions -53 to -44 relative to the cap site), CP1 (-73 to -69), and Sp1 (-95 to -90) are bound by proteins in K562 cell nuclear extracts, as are three extended upstream regions. Two recognition sites for Sp1 in intron 1 are also bound both by proteins in crude nuclear extracts and by purified Sp1. The sequences CCAC in intron 2 and C5 in the 3'-untranslated region also bind proteins. A major binding site found in exon 1, TATGGCGC, matches in sequence and methylation interference pattern the binding site for nuclear protein YY1, and binding is inhibited through competition by YY1-specific oligonucleotides. The protein-binding sites flanking and internal to the rabbit alpha-globin gene may form an extended promoter.

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