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相关论文: Multiscale guidance of protein structure predictio…

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Cryo-electron microscopy (cryo-EM) studies using single particle reconstruction are extensively used to reveal structural information on macromolecular complexes. Aiming at the highest achievable resolution, state of the art electron…

Cryogenic Electron Tomography (CryoET) is a useful imaging technology in structural biology that is hindered by its need for manual annotations, especially in particle picking. Recent works have endeavored to remedy this issue with few-shot…

定量方法 · 定量生物学 2024-07-10 Yizhou Zhao , Hengwei Bian , Michael Mu , Mostofa R. Uddin , Zhenyang Li , Xiang Li , Tianyang Wang , Min Xu

Understanding protein solubility is essential for their functional applications. Computational methods for predicting protein solubility are crucial for reducing experimental costs and enhancing the efficiency and success rates of protein…

定量方法 · 定量生物学 2024-07-01 Yang Tan , Jia Zheng , Liang Hong , Bingxin Zhou

Cryogenic electron microscopy is widely used in structural biology, but its resolution is often limited by the dynamics of the macromolecule. Here, we developed a refinement protocol based on Gaussian mixture models that integrates particle…

定量方法 · 定量生物学 2023-08-31 Muyuan Chen , Michael F. Schmid , Wah Chiu

The structure of proteins is essential for its function. The determination of protein structures is possible by experimental or predicted by computational methods, but also a combination of both approaches is possible. Here, first an…

其他定量生物学 · 定量生物学 2020-03-03 Gerhard Mayer

Electrospray ion beam deposition (ESIBD) is the intact, chemically selective deposition of molecular ions on surfaces in vacuum. Here, we present a general method and dedicated instrumentation for ESIBD-based cryoEM sample preparation of…

The Cryo-EM 3D particle reconstruction is essential for identifying protein and uncover the biological mechanism of the macro-molecules. In this paper, we use Kam method for reconstruction. Kam method is \textit{ab-initio}, and it assumes…

定量方法 · 定量生物学 2019-06-21 Yin Xian

Accurate orientation estimation is a crucial component of 3D molecular structure reconstruction, both in single-particle cryo-electron microscopy (cryo-EM) and in the increasingly popular field of cryo-electron tomography (cryo-ET). The…

应用统计 · 统计学 2026-02-25 Sheng Xu , Amnon Balanov , Amit Singer , Tamir Bendory

While many good textbooks are available on Protein Structure, Molecular Simulations, Thermodynamics and Bioinformatics methods in general, there is no good introductory level book for the field of Structural Bioinformatics. This book aims…

Proteins are essential for maintaining life. For example, knowing the structure of a protein, cell regulatory mechanisms of organisms can be modeled, supporting the development of disease treatments or the understanding of relationships…

生物大分子 · 定量生物学 2019-01-07 Daniel Bonetti , Alexandre Delbem , Dorival Leão , Jochen Einbeck

The Gene or DNA sequence in every cell does not control genetic properties on its own; Rather, this is done through translation of DNA into protein and subsequent formation of a certain 3D structure. The biological function of a protein is…

计算工程、金融与科学 · 计算机科学 2019-05-30 Leila Khalatbari , Mohammad Reza Kangavari , Saeid Hosseini , Hongzhi Yin , Ngai-Man Cheung

This review is a tutorial for scientists interested in the problem of protein structure prediction, particularly those interested in using coarse-grained molecular dynamics models that are optimized using lessons learned from the energy…

生物大分子 · 定量生物学 2014-01-06 N. P. Schafer , B. L. Kim , W. Zheng , P. G. Wolynes

Determining the structure of a protein has been a decades-long open question. A protein's three-dimensional structure often poses nontrivial computation costs, when classical simulation algorithms are utilized. Advances in the transformer…

Determining protein structures at an atomic level remains a significant challenge in structural biology. We introduce $\texttt{RecCrysFormer}$, a hybrid model that exploits the strengths of transformers with the aim of integrating…

定量方法 · 定量生物学 2026-01-30 Tom Pan , Evan Dramko , Mitchell D. Miller , George N. Phillips , Anastasios Kyrillidis

There is a clear need for developments in characterisation techniques that provide detailed information about structure-function relationships in biology. Using electron microscopy to achieve high resolution while maintaining a broad field…

定量方法 · 定量生物学 2023-09-12 Chen Huang , Judy S. Kim , Angus I. Kirkland

The field of cryo-electron microscopy has made astounding advancements in the past few years, mainly due to advancements in electron detectors' technology. Yet, one of the key open challenges of the field remains the processing of…

计算机视觉与模式识别 · 计算机科学 2019-10-04 Yariv Aizenbud , Yoel Shkolnisky

The dynamics of biomolecules are crucial for our understanding of their functioning in living systems. However, current 3D imaging techniques, such as cryogenic electron microscopy (cryo-EM), require freezing the sample, which limits the…

定量方法 · 定量生物学 2023-08-24 Enze Ye , Yuhang Wang , Hong Zhang , Yiqin Gao , Huan Wang , He Sun

A reliable prediction of 3D protein structures from sequence data remains a big challenge due to both theoretical and computational difficulties. We have previously shown that our kinetostatic compliance method (KCM) implemented into the…

计算工程、金融与科学 · 计算机科学 2017-12-27 Pouya Tavousi , Morad Behandish , Horea T. Ilies , Kazem Kazerounian

A fundamental goal of research in molecular biology is to understand protein structure. Protein crystallography is currently the most successful method for determining the three-dimensional (3D) conformation of a protein, yet it remains…

人工智能 · 计算机科学 2014-11-17 L. Leherte , J. Glasgow , K. Baxter , E. Steeg , S. Fortier

Proteins adopt multiple structural conformations to perform their diverse biological functions, and understanding these conformations is crucial for advancing drug discovery. Traditional physics-based simulation methods often struggle with…

生物大分子 · 定量生物学 2025-03-14 Jiarui Lu , Xiaoyin Chen , Stephen Zhewen Lu , Chence Shi , Hongyu Guo , Yoshua Bengio , Jian Tang