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Recently developed deep learning techniques have significantly improved the accuracy of various speech and image recognition systems. In this paper we adapt some of these techniques for protein secondary structure prediction. We first train…

Machine Learning · Computer Science 2016-11-07 Akosua Busia , Jasmine Collins , Navdeep Jaitly

Protein is linked to almost every life process. Therefore, analyzing the biological structure and property of protein sequences is critical to the exploration of life, as well as disease detection and drug discovery. Traditional protein…

Machine Learning · Computer Science 2021-12-08 Yijia Xiao , Jiezhong Qiu , Ziang Li , Chang-Yu Hsieh , Jie Tang

Protein function is driven by cohesive substructures, such as catalytic triads, binding pockets, and structural motifs, that occupy only a small fraction of a protein's residues. Yet existing pipelines built on protein encoders do not model…

Biomolecules · Quantitative Biology 2026-05-18 Xin Wang , Kaiwen Shi , Carlos Oliver

One of the most puzzling and unsolved challenges in molecular biology is understanding how proteins fold. Despite having advanced predictive tools that can accurately estimate the native structures of proteins, we still lack a comprehensive…

Biomolecules · Quantitative Biology 2026-01-13 Jorge Vila

Directed evolution plays an indispensable role in protein engineering that revises existing protein sequences to attain new or enhanced functions. Accurately predicting the effects of protein variants necessitates an in-depth understanding…

Quantitative Methods · Quantitative Biology 2023-06-09 Yang Tan , Bingxin Zhou , Yuanhong Jiang , Yu Guang Wang , Liang Hong

Improving the ability to predict protein function can potentially facilitate research in the fields of drug discovery and precision medicine. Technically, the properties of proteins are directly or indirectly reflected in their sequence and…

Biomolecules · Quantitative Biology 2024-11-19 Runze Ma , Chengxin He , Huiru Zheng , Xinye Wang , Haiying Wang , Yidan Zhang , Lei Duan

A large number of protein sequences are becoming available through the application of novel high-throughput sequencing technologies. Experimental functional characterization of these proteins is time-consuming and expensive, and is often…

Genomics · Quantitative Biology 2017-09-28 Maxat Kulmanov , Mohammed Asif Khan , Robert Hoehndorf

Complexes of physically interacting proteins constitute fundamental functional units responsible for driving biological processes within cells. A faithful reconstruction of the entire set of complexes is therefore essential to understand…

Molecular Networks · Quantitative Biology 2015-05-21 Sriganesh Srihari , Chern Han Yong , Ashwini Patil , Limsoon Wong

The underlying structure of the canonical amino acid substitution matrix (aaSM) is examined by considering stepwise improvements in the differential recognition of amino acids according to their chemical properties during the branching…

Populations and Evolution · Quantitative Biology 2019-12-12 Julia A. Shore , Barbara R. Holland , Jeremy G. Sumner , Kay Nieselt , Peter R. Wills

The remarkable success of AlphaFold2 in providing accurate atomic-level prediction of protein structures from their amino acid sequence has transformed approaches to the protein folding problem. However, its core paradigm of mapping one…

Applications · Statistics 2025-12-12 Yongkai Chen , Samuel WK Wong , SC Kou

Background:Prediction of protein three-dimensional structures from amino acid sequences is a long-standing goal in computational/molecular biology. The successful discrimination of protein folds would help to improve the accuracy of protein…

Biomolecules · Quantitative Biology 2007-05-23 Y-h. Taguchi , M. Michael Gromiha

Pre-trained models have been successful in many protein engineering tasks. Most notably, sequence-based models have achieved state-of-the-art performance on protein fitness prediction while structure-based models have been used…

Machine Learning · Computer Science 2023-07-25 Antonia Boca , Simon Mathis

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

Specific protein-protein interactions are crucial in the cell, both to ensure the formation and stability of multi-protein complexes, and to enable signal transduction in various pathways. Functional interactions between proteins result in…

Biological Physics · Physics 2016-11-21 Anne-Florence Bitbol , Robert S. Dwyer , Lucy J. Colwell , Ned S. Wingreen

One of the outstanding challenges in comparative genomics is to interpret the evolutionary importance of regulatory variation between species. Rigorous molecular evolution-based methods to infer evidence for natural selection from…

Populations and Evolution · Quantitative Biology 2013-10-16 Joshua G. Schraiber , Yulia Mostovoy , Tiffany Y. Hsu , Rachel B. Brem

Research shows that gene duplication followed by either repurposing or removal of duplicated genes is an important contributor to evolution of gene and protein interaction networks. We aim to identify which characteristics of a network can…

Molecular Networks · Quantitative Biology 2021-07-27 Peter Crawford-Kahrl , Robert R. Nerem , Bree Cummins , Tomas Gedeon

Gene expression and regulation rely on an apparently finely tuned set of reactions between some proteins and DNA. Such DNA-binding proteins have to find specific sequences on very long DNA molecules and they mostly do so in absence of any…

Biological Physics · Physics 2013-12-02 Maria Barbi , Fabien Paillusson

Proteins are fundamental biological entities that play a key role in life activities. The amino acid sequences of proteins can be folded into stable 3D structures in the real physicochemical world, forming a special kind of…

Machine Learning · Computer Science 2023-01-04 Lirong Wu , Yufei Huang , Haitao Lin , Stan Z. Li

Protein mutations can have profound effects on biological function, making accurate prediction of property changes critical for drug discovery, protein engineering, and precision medicine. Current approaches rely on fine-tuning…

Machine Learning · Computer Science 2025-10-27 Srivathsan Badrinarayanan , Yue Su , Janghoon Ock , Alan Pham , Sanya Ahuja , Amir Barati Farimani

Distinguishing agents of bone modification at paleoanthropological sites is at the root of much of the research directed at understanding early hominin exploitation of large animal resources and the effects those subsistence behaviors had…

Computer Vision and Pattern Recognition · Computer Science 2022-05-25 Katrina Yezzi-Woodley , Alexander Terwilliger , Jiafeng Li , Eric Chen , Martha Tappen , Jeff Calder , Peter J. Olver