English
Related papers

Related papers: FAPS: A Fast Platform for Protein Structureomics A…

200 papers

Background: Chromatin immunoprecipitation coupled to next generation sequencing (ChIP-Seq) is a widely used technique to investigate the function of chromatin-related proteins in a genome-wide manner. ChIP-Seq generates large quantities of…

Genomics · Quantitative Biology 2019-11-01 Marcelo Ponce , Alejandro Saettone , Syed Nabeel-Shah , Jeffrey Fillingham

Protein motifs are conserved fragments occurred frequently in protein sequences. They have significant functions, such as active site of an enzyme. Search and clustering protein sequence motifs are computational intensive. Most existing…

Genomics · Quantitative Biology 2017-01-03 Haifeng Chen , Ting Chen

Protein language models (pLMs) pre-trained on vast protein sequence databases excel at various downstream tasks but often lack the structural knowledge essential for some biological applications. To address this, we introduce a method to…

Generative models trained on public databases of protein structures, most of which have been determined by X-ray crystallography, now provide powerful priors for structure prediction. However, they are not readily conditioned on the…

Machine Learning · Computer Science 2026-05-18 Minseo Kim , Huanghao Mai , Jay Shenoy , Alec Follmer , Gordon Wetzstein , Frederic Poitevin

In this perspective article, we present a multidisciplinary approach for characterizing protein structure networks. We first place our approach in its historical context and describe the manner in which it synthesizes concepts from quantum…

Molecular Networks · Quantitative Biology 2019-12-30 Vasundhara Gadiyaram , Smitha Vishveshwara , Saraswathi Vishveshwara

Recent years have witnessed a surge in the development of protein structural tokenization methods, which chunk protein 3D structures into discrete or continuous representations. Structure tokenization enables the direct application of…

Quantitative Methods · Quantitative Biology 2025-06-26 Xinyu Yuan , Zichen Wang , Marcus Collins , Huzefa Rangwala

Understanding the 3D structures of protein multimers is crucial, as they play a vital role in regulating various cellular processes. It has been empirically confirmed that the multimer structure prediction~(MSP) can be well handled in a…

Computational Engineering, Finance, and Science · Computer Science 2024-03-01 Ziqi Gao , Xiangguo Sun , Zijing Liu , Yu Li , Hong Cheng , Jia Li

Inverse design has emerged as a transformative approach for photonic device optimization, enabling the exploration of high-dimensional, non-intuitive design spaces to create ultra-compact devices and advance photonic integrated circuits…

Revealing the structure of complex biological macromolecules, such as proteins, is an essential step for understanding the chemical mechanisms that determine the diversity of their functions. Synchrotron based x-ray crystallography and…

Proteomic matrix-assisted laser desorption/ionisation (MALDI) linear time-of-flight (TOF) mass spectrometry (MS) may be used to produce protein profiles from biological samples with the aim of discovering biomarkers for disease. However,…

Quantitative Methods · Quantitative Biology 2016-03-24 Tyman E. Stanford , Christopher J. Bagley , Patty J. Solomon

Tissues and organs are composed of distinct cell types that must operate in concert to perform physiological functions. Efforts to create high-dimensional biomarker catalogs of these cells are largely based on transcriptomic single-cell…

Here we present ComPPI, a cellular compartment specific database of proteins and their interactions enabling an extensive, compartmentalized protein-protein interaction network analysis (http://ComPPI.LinkGroup.hu). ComPPI enables the user…

Molecular Networks · Quantitative Biology 2015-01-14 Daniel V. Veres , David M. Gyurko , Benedek Thaler , Kristof Z. Szalay , David Fazekas , Tamas Korcsmaros , Peter Csermely

Datasets used in immunotherapy response prediction are typically small in size, as well as diverse in cancer type, drug administered, and sequencer used. Models often drop in performance when tested on patient cohorts that are not included…

Machine Learning · Computer Science 2026-04-02 Sayed Hashim , Frank Soboczenski , Paul Cairns

The prediction of protein 3D structure from amino acid sequence is a computational grand challenge in biophysics, and plays a key role in robust protein structure prediction algorithms, from drug discovery to genome interpretation. The…

Biomolecules · Quantitative Biology 2024-07-03 Hyun Park , Parth Patel , Roland Haas , E. A. Huerta

This paper aims to retrieve proteins with similar structures and semantics from large-scale protein dataset, facilitating the functional interpretation of protein structures derived by structural determination methods like cryo-Electron…

Biomolecules · Quantitative Biology 2025-06-11 Qifeng Wu , Zhengzhe Liu , Han Zhu , Yizhou Zhao , Daisuke Kihara , Min Xu

Substructure search in chemical compound databases is a fundamental task in cheminformatics with critical implications for fields such as drug discovery, materials science, and toxicology. However, the increasing size and complexity of…

Databases · Computer Science 2023-10-04 Vsevolod Vaskin , Dmitri Jakovlev , Fedor Bakharev

Motivation: 3D structures of proteins provide rich information for understanding their biochemical roles. Identifying the representative protein structures for protein sequences is essential for analysis of proteins at proteome scale.…

Genomics · Quantitative Biology 2023-03-01 Boshen Wang , Xue Lei , Wei Tian , Alan Perez-Rathke , Yan-Yuan Tseng , Jie Liang

Characterizing structural and dynamic properties of proteins and large macromolecular assemblies is crucial to understand the molecular mechanisms underlying biological functions. In the field of Structural Biology, no single method…

Quantitative Methods · Quantitative Biology 2023-10-04 Samuel Hoff , Maximilian Zinke , Nadia Izadi-Pruneyre , Massimiliano Bonomi

Proteins, as essential biomolecules, play a central role in biological processes, including metabolic reactions and DNA replication. Accurate prediction of their properties and functions is crucial in biological applications. Recent…

Computation and Language · Computer Science 2025-05-30 Wei Wu , Chao Wang , Liyi Chen , Mingze Yin , Yiheng Zhu , Kun Fu , Jieping Ye , Hui Xiong , Zheng Wang

High throughput metabolomics data are fraught with both non-ignorable missing observations and unobserved factors that influence a metabolite's measured concentration, and it is well known that ignoring either of these complications can…

Methodology · Statistics 2019-09-09 Chris McKennan , Carole Ober , Dan Nicolae
‹ Prev 1 8 9 10 Next ›