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Predicting protein properties, functions and localizations are important tasks in bioinformatics. Recent progress in machine learning offers an opportunities for improving existing methods. We developed a new approach called ProtBoost,…

Quantitative Methods · Quantitative Biology 2024-12-09 Alexander Chervov , Anton Vakhrushev , Sergei Fironov , Loredana Martignetti

Morphological traits are physical characteristics of biological organisms that provide vital clues on how organisms interact with their environment. Yet extracting these traits remains a slow, expert-driven process, limiting their use in…

Computer Vision and Pattern Recognition · Computer Science 2026-05-11 Vardaan Pahuja , Samuel Stevens , Alyson East , Sydne Record , Yu Su

Summary: TreeGrafter is a new software tool for annotating protein sequences using annotated phylogenetic trees. Cur-rently, the tool provides annotations to Gene Ontology terms, and PANTHER protein class, family and subfamily. The…

Quantitative Methods · Quantitative Biology 2018-02-22 Haiming Tang , Robert D Finn , Paul D Thomas

Bacteriophages are promising alternative antimicrobial agents due to their high specificity for host bacteria and minimal immunogenicity in humans. However, their therapeutic application is limited by their nature as biological entities,…

Quantitative Methods · Quantitative Biology 2024-12-30 Hyunjin Shim

Prokaryotic gene prediction plays an important role in understanding the biology of organisms and their function with applications in medicine and biotechnology. Although the current gene finders are highly sensitive in finding long genes,…

Genomics · Quantitative Biology 2023-07-21 Tony Tu , Gautham Krishna , Amirali Aghazadeh

Most approaches to prediction of protein function from primary structure are based on similarity between the query sequence and sequences of known function. This approach, however, disregards the occurrence of gene duplication (paralogy) or…

Populations and Evolution · Quantitative Biology 2014-04-03 Paulo Bandiera-Paiva , Jackson C. Lima , Marcelo R. S. Briones

Protein function prediction is a crucial task in bioinformatics, with significant implications for understanding biological processes and disease mechanisms. While the relationship between sequence and function has been extensively…

Quantitative Methods · Quantitative Biology 2024-09-04 Shania Mitra , Lei Huang , Manolis Kellis

Proteins are essential macromolecules of life and thus understanding their function is of great importance. The number of functionally unclassified proteins is large even for simple and well studied organisms such as baker's yeast. Methods…

Molecular Networks · Quantitative Biology 2008-02-06 Tijana Milenkovic , Natasa Przulj

Hydrophobic patches on protein surfaces play important functional roles in protein-protein and protein-ligand interactions. Large hydrophobic surfaces are also involved in the progression of aggregation diseases. Predicting exposed…

Quantitative Methods · Quantitative Biology 2024-05-28 Dea Gogishvili , Emmanuel Minois-Genin , Jan van Eck , Sanne Abeln

Generalizable protein function prediction is increasingly constrained by the growing mismatch between exponentially expanding sequences of environmental proteins and the comparatively slow accumulation of experimentally verified functional…

Quantitative Methods · Quantitative Biology 2026-02-27 Ashley Babjac , Adrienne Hoarfrost

Microbes are essentially yet convolutedly linked with human lives on the earth. They critically interfere in different physiological processes and thus influence overall health status. Studying microbial species is used to be constrained to…

Genomics · Quantitative Biology 2021-09-03 Chao Yang , Debajyoti Chowdhury , Zhenmiao Zhang , William K. Cheung , Aiping Lu , Zhao Xiang Bian , Lu Zhang

With the rapid growth in high-throughput biological sequencing technologies and subsequently the amount of produced omics data, it is essential to develop automated methods to annotate the functionality of unknown genes and proteins. There…

Genomics · Quantitative Biology 2019-10-17 Samaneh Jozashoori , Amir Jozashoori , Heiko Schoof

Several formats, including FASTA, PIR, GenBank, EMBL, and GCG, have been developed for representing protein sequences composed of natural amino acids. Among these, FASTA remains the most widely used due to its simplicity and human…

Proteins are the essential drivers of biological processes. At the molecular level, they are chains of amino acids that can be viewed through a linguistic lens where the twenty standard residues serve as an alphabet combining to form a…

Computation and Language · Computer Science 2025-12-15 Burak Suyunu , Özdeniz Dolu , Ibukunoluwa Abigail Olaosebikan , Hacer Karatas Bristow , Arzucan Özgür

Understanding the intricate interplay among sequence, structure, and function remains a fundamental challenge in proteomics. The sequence-structure-function paradigm posits that biological roles are governed by the tertiary geometric…

Biomolecules · Quantitative Biology 2026-05-14 Hongwang Xiao , Wenjun Lin , Xi Chen , Hui Wang , Kai Chen , Jiashan Li , Yuancheng Sun , Sicheng Dai , Boya Wu , Qiwei Ye

A central challenge in the study of protein evolution is the identification of historic amino acid sequence changes responsible for creating novel functions observed in present-day proteins. To address this problem, we developed a new…

Genomics · Quantitative Biology 2014-06-13 Victor Hanson-Smith , Christopher Baker , Alexander Johnson

Existing PLMs generate protein sequences based on a single-condition constraint from a specific modality, struggling to simultaneously satisfy multiple constraints across different modalities. In this work, we introduce CFP-Gen, a novel…

Computer Vision and Pattern Recognition · Computer Science 2025-05-30 Junbo Yin , Chao Zha , Wenjia He , Chencheng Xu , Xin Gao

Bacteria pose unique challenges for genome-wide association studies (GWAS) because of strong structuring into distinct strains and substantial linkage disequilibrium across the genome. While methods developed for human studies can correct…

Studying the function of proteins is important for understanding the molecular mechanisms of life. The number of publicly available protein structures has increasingly become extremely large. Still, the determination of the function of a…

Machine Learning · Computer Science 2018-03-02 Wajdi Dhifli , Abdoulaye Baniré Diallo

Protein inference plays a vital role in the proteomics study. Two major approaches could be used to handle the problem of protein inference; top-down and bottom-up. This paper presents a framework for protein inference, which uses hardware…

Computational Engineering, Finance, and Science · Computer Science 2014-03-07 S. M. Vidanagamachchi , S. D. Dewasurendra , R. G. Ragel