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Nuclear magnetic resonance (NMR) spectroscopy is one of the leading techniques for protein studies. The method features a number of properties, allowing to explain macromolecular interactions mechanistically and resolve structures with…

Quantitative Methods · Quantitative Biology 2018-08-03 Piotr Klukowski , Adam Gonczarek

Nuclear magnetic resonance (NMR) spectroscopy is a powerful method for the investigation of three-dimensional structures of biological molecules such as proteins. Determining a protein structure is essential for understanding its function…

Artificial Intelligence · Computer Science 2015-06-22 John Emmons , Steven Johnson , Timothy Urness , Adina Kilpatrick

Nuclear Magnetic Resonance (NMR) Spectroscopy is the second most used technique (after X-ray crystallography) for structural determination of proteins. A computational challenge in this technique involves solving a discrete optimization…

Artificial Intelligence · Computer Science 2021-09-09 Jose F. S. Bravo-Ferreira , David Cowburn , Yuehaw Khoo , Amit Singer

Nuclear Magnetic Resonance (NMR) is used in structural biology to experimentally determine the structure of proteins, which is used in many areas of biology and is an important part of drug development. Unfortunately, NMR data can cost…

Quantitative Methods · Quantitative Biology 2022-08-03 Jia Qi Yip , Dianwen Ng , Bin Ma , Konstantin Pervushin , Eng Siong Chng

Resonance assignment is a critical first step in the investigation of protein structures using NMR spectroscopy. The development of assignment methods that require less experimental data is possible with prior knowledge of the…

Biomolecules · Quantitative Biology 2019-11-05 P. Shealy , R. Mukhopadhyay , S. Smith , H. Valafar

Nuclear magnetic resonance (NMR) spectroscopy serves as an indispensable tool in chemistry and biology but often suffers from long experimental time. We present a proof-of-concept of application of deep learning and neural network for…

Medical Physics · Physics 2019-05-15 Xiaobo Qu , Yihui Huang , Hengfa Lu , Tianyu Qiu , Di Guo , Tatiana Agback , Vladislav Orekhov , Zhong Chen

Materials characterization remains a significant, time-consuming undertaking. Generally speaking, spectroscopic techniques are used in conjunction with empirical and ab-initio calculations in order to elucidate structure. These experimental…

Materials Science · Physics 2014-05-15 William J. Brouwer , James D. Kubicki , Jorge O. Sofo , C. Lee Giles

Nuclear Magnetic Resonance (NMR) spectroscopy is a crucial analytical technique used for molecular structure elucidation, with applications spanning chemistry, biology, materials science, and medicine. However, the frequency resolution of…

Nuclear Magnetic Resonance (NMR) spectroscopy is one of the most powerful and widely used tools for molecular structure elucidation in organic chemistry. However, the interpretation of NMR spectra to determine unknown molecular structures…

Chemical Physics · Physics 2025-09-03 Yongqi Jin , Jun-Jie Wang , Fanjie Xu , Xiaohong Ji , Zhifeng Gao , Linfeng Zhang , Guolin Ke , Rong Zhu , Weinan E

Nuclear Magnetic Resonance (NMR) spectrometry uses electro-frequency pulses to probe the resonance of a compound's nucleus, which is then analyzed to determine its structure. The acquisition time of high-resolution NMR spectra remains a…

Structure determination is key to understanding protein function at a molecular level. Whilst significant advances have been made in predicting structure and function from amino acid sequence, researchers must still rely on expensive,…

Computer Vision and Pattern Recognition · Computer Science 2020-09-01 Alexander Hudson , Shaogang Gong

Nuclear Magnetic Resonance (NMR) Spectroscopy is a widely used technique to predict the native structure of proteins. However, NMR machines are only able to report approximate and partial distances between pair of atoms. To build the…

Neural and Evolutionary Computing · Computer Science 2014-11-18 Md. Lisul Islam , Swakkhar Shatabda , M. Sohel Rahman

Assignment of protein backbone resonances is most routinely carried out using triple resonance three dimensional NMR experiments involving amide 1H and 15N resonances. However for intrinsically unstructured proteins, alpha-helical proteins…

Fast and accurate protein structure prediction is one of the major challenges in structural biology, biotechnology and molecular biomedicine. These fields require 3D protein structures for rational design of proteins with improved or novel…

Data Analysis, Statistics and Probability · Physics 2013-11-14 Lars A. Bratholm

Nuclear Magnetic Resonance (NMR) spectroscopy is a cornerstone technique for determining the structures of small molecules and is especially critical in the discovery of novel natural products and clinical therapeutics. Yet, interpreting…

Machine Learning · Computer Science 2025-12-04 Ziyu Xiong , Yichi Zhang , Foyez Alauddin , Chu Xin Cheng , Joon Soo An , Mohammad R. Seyedsayamdost , Ellen D. Zhong

Nuclear Magnetic Resonance (NMR) spectroscopy leverages nuclear magnetization to probe molecules' chemical environment, structure, and dynamics, with applications spanning from pharmaceuticals to the petroleum industry. Despite its utility,…

Image and Video Processing · Electrical Eng. & Systems 2025-10-14 Sen Yan , Fabrizio Gabellieri , Etienne Goffinet , Filippo Castiglione , Thomas Launey

Sequence specific resonance assignment and secondary structure determination of proteins form the basis for variety of structural and functional proteomics studies by NMR. In this context, an efficient standalone method for rapid assignment…

Biological Physics · Physics 2013-09-05 Dinesh Kumar

One-dimensional NMR spectroscopy is one of the most widely used techniques for the characterization of organic compounds and natural products. For molecules with up to 36 non-hydrogen atoms, the number of possible structures has been…

As high-throughput biological sequencing becomes faster and cheaper, the need to extract useful information from sequencing becomes ever more paramount, often limited by low-throughput experimental characterizations. For proteins, accurate…

Quantitative Methods · Quantitative Biology 2017-01-31 Xueliang Liu

A novel approach for structure alignment is presented, where the key ingredients are: (1) An error function formulation of the problem simultaneously in terms of binary (Potts) assignment variables and real-valued atomic coordinates. (2)…

Biological Physics · Physics 2007-05-23 M. Ohlsson , C. Peterson , M. Ringner , R. Blankenbecler
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