Nuclear magnetic resonance is a crucial technique for studying biological complexes, as it provides precise structural and dynamic information at the atomic level. However, the process of assigning resonances can be time-consuming and challenging, particularly in cases where peaks overlap, or the data quality is poor. In this paper, we present TINTO (Two and three-dimensional Imaging for NMR sTrip Operation via CV/ML), an advanced semiautomatic toolset for NMR resonance assignment. TINTO comprises two separate tools, each tailored for either two-dimensional or three-dimensional imaging. The toolset utilizes a computer-vision approach and a machine learning approach, specifically structural similarity index and principal components analysis, to perform visual similarity searches of resonances and quickly locate similar strips, and in that way overcome the challenges associated with peak overlap without requiring peak picking. Our tool offers a user-friendly interface and has the potential to enhance the efficiency and accuracy of NMR resonance assignment, particularly in complex cases. This advancement holds promising implications for furthering our understanding of biological systems at the molecular level. TINTO is pre-installed in the POKY suite, which is available at https://poky.clas.ucdenver.edu.
[NMR paper] POKY software tools encapsulating assignment strategies for solution and solid-state protein NMR data
POKY software tools encapsulating assignment strategies for solution and solid-state protein NMR data
NMR spectroscopy provides structural and functional information about biomolecules and their complexes. The complexity of these systems can make the NMR data difficult to interpret, particularly for newer users of NMR technology, who may have limited understanding of the tools available and how they are used. To alleviate this problem, we have created software based on standardized workflows for both solution and solid-state NMR spectroscopy of proteins. These tools assist with manual...
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[NMR paper] Thiourea-Based Inhibitors of the B-Cell Lymphoma 6 (BCL6) BTB Domain via NMR-Based Fragment Screening and Computer-Aided Drug Design.
Thiourea-Based Inhibitors of the B-Cell Lymphoma 6 (BCL6) BTB Domain via NMR-Based Fragment Screening and Computer-Aided Drug Design.
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J Med Chem. 2018 Jul 03;:
Authors: Cheng H, Linhares B, Yu W, Cardenas MG, Ai Y, Jiang W, Winkler A, Cohen S, Melnick A, MacKerell AD, Cierpicki T, Xue F
Abstract
Protein-protein interactions (PPI) between the transcriptional repressor B-cell...
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[NMR paper] Computer Vision - Based Automated Peak Picking Applied to Protein NMR Spectra.
Computer Vision - Based Automated Peak Picking Applied to Protein NMR Spectra.
Related Articles Computer Vision - Based Automated Peak Picking Applied to Protein NMR Spectra.
Bioinformatics. 2015 May 20;
Authors: Klukowski P, Walczak MJ, Gonczarek A, Boudet J, Wider G
Abstract
MOTIVATION: A detailed analysis of multidimensional NMR spectra of macromolecules requires the identification of individual resonances (peaks). This task can be tedious and time-consuming and often requires support by experienced users. Automated peak...
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[NMR paper] NMR-Based Strategies to Elucidate Bioactive Conformations of Weakly Binding Ligands.
NMR-Based Strategies to Elucidate Bioactive Conformations of Weakly Binding Ligands.
Related Articles NMR-Based Strategies to Elucidate Bioactive Conformations of Weakly Binding Ligands.
Top Curr Chem. 2008;273:1-14
Authors: Blommers MJ, Strauss A, Geiser M, Ramage P, Sparrer H, Jahnke W
Abstract
Key processes in molecular biology are regulated by interactions between biomolecules. Protein-proteinand protein-ligand interactions, e.g., in signal transduction pathways, rely on the subtle interactionsbetween atoms at the binding interface of...
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[NMR paper] Computer-Aided Design of Fragment Mixtures for NMR-Based Screening.
Computer-Aided Design of Fragment Mixtures for NMR-Based Screening.
Related Articles Computer-Aided Design of Fragment Mixtures for NMR-Based Screening.
PLoS One. 2013;8(3):e58571
Authors: Arroyo X, Goldflam M, Feliz M, Belda I, Giralt E
Abstract
Fragment-based drug discovery is widely applied both in industrial and in academic screening programs. Several screening techniques rely on NMR to detect binding of a fragment to a target. NMR-based methods are among the most sensitive techniques and have the further advantage of yielding a low...
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[NMR paper] Strategies for the NMR-based identification and optimization of allosteric protein kinase inhibitors.
Strategies for the NMR-based identification and optimization of allosteric protein kinase inhibitors.
Related Articles Strategies for the NMR-based identification and optimization of allosteric protein kinase inhibitors.
Chembiochem. 2005 Sep;6(9):1607-10
Authors: Jahnke W, Blommers MJ, Fernández C, Zwingelstein C, Amstutz R
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[NMR paper] NMR-based methods and strategies for drug discovery.
NMR-based methods and strategies for drug discovery.
Related Articles NMR-based methods and strategies for drug discovery.
Chem Soc Rev. 2003 Nov;32(6):365-72
Authors: Salvatella X, Giralt E
Nuclear Magnetic Resonance (NMR) spectroscopy has long been a favourite tool of chemists interested in host-guest systems because it permits access to a wealth of information about the molecular recognition reaction. NMR has evolved dramatically in the last 15 years and, in parallel with the development of NMR methods for the determination of protein...
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[NMR paper] CAMRA: chemical shift based computer aided protein NMR assignments.
CAMRA: chemical shift based computer aided protein NMR assignments.
Related Articles CAMRA: chemical shift based computer aided protein NMR assignments.
J Biomol NMR. 1998 Oct;12(3):395-405
Authors: Gronwald W, Willard L, Jellard T, Boyko RF, Rajarathnam K, Wishart DS, Sönnichsen FD, Sykes BD
A suite of programs called CAMRA (Computer Aided Magnetic Resonance Assignment) has been developed for computer assisted residue-specific assignments of proteins. CAMRA consists of three units: ORB, CAPTURE and PROCESS. ORB predicts NMR chemical shifts...
Breaking boundaries: TINTO in POKY for computer vision-based NMR walking strategies
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