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Genetic and comparative genomic studies indicate that extant genomes are more properly considered to be a fusion product of random mutations over generations and genomic material transfers between individuals of different lineages. This has…

Quantitative Methods · Quantitative Biology 2018-01-16 Andreas D. M. Gunawan , Bingxin Lu , Louxin Zhang

The inapplicability of amino acid covariation methods to small protein families has limited their use for structural annotation of whole genomes. Recently, deep learning has shown promise in allowing accurate residue-residue contact…

Biomolecules · Quantitative Biology 2019-09-10 Joe G Greener , Shaun M Kandathil , David T Jones

Providing explainable molecular property predictions is critical for many scientific domains, such as drug discovery and material science. Though transformer-based language models have shown great potential in accurate molecular property…

Machine Learning · Computer Science 2026-01-14 Zhenzhong Wang , Zehui Lin , Wanyu Lin , Ming Yang , Minggang Zeng , Kay Chen Tan

Native contacts between residues could be predicted from the amino acid sequence of proteins, and the predicted contact information could assist the de novo protein structure prediction. Here, we present a novel pipeline of a residue…

Biomolecules · Quantitative Biology 2019-05-29 Wenzhi Mao , Wenze Ding , Haipeng Gong

Cross-modal retrieval methods build a common representation space for samples from multiple modalities, typically from the vision and the language domains. For images and their captions, the multiplicity of the correspondences makes the…

Computer Vision and Pattern Recognition · Computer Science 2021-06-15 Sanghyuk Chun , Seong Joon Oh , Rafael Sampaio de Rezende , Yannis Kalantidis , Diane Larlus

Filters (such as Bloom Filters) are data structures that speed up network routing and measurement operations by storing a compressed representation of a set. Filters are space efficient, but can make bounded one-sided errors: with tunable…

Data Structures and Algorithms · Computer Science 2021-05-25 Tsvi Kopelowitz , Samuel McCauley , Ely Porat

Protein folding and evolution are intimately linked phenomena. Here, we revisit the concept of exons as potential protein folding modules across 38 abundant and conserved protein families. Taking advantage of genomic exon-intron…

Biomolecules · Quantitative Biology 2024-01-05 Ezequiel A. Galpern , Hana Jaafari , Carlos Bueno , Peter G. Wolynes , Diego U. Ferreiro

We study a large data set of protein structure ensembles of very diverse sizes determined by nuclear magnetic resonance. By examining the distance-dependent correlations in the displacement of residues pairs and conducting finite size…

Biological Physics · Physics 2017-03-01 Qian-Yuan Tang , Yang-Yang Zhang , Jun Wang , Wei Wang , Dante R. Chialvo

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

Statistical analysis of multiple sequence alignments of homologous proteins has revealed groups of coevolving amino acids called sectors. These groups of amino-acid sites feature collective correlations in their amino-acid usage, and they…

Populations and Evolution · Quantitative Biology 2024-12-30 Nicola Dietler , Alia Abbara , Subham Choudhury , Anne-Florence Bitbol

Contrastive self-supervised representation learning methods maximize the similarity between the positive pairs, and at the same time tend to minimize the similarity between the negative pairs. However, in general the interplay between the…

Machine Learning · Computer Science 2022-06-13 Mehdi Seyfi , Amin Banitalebi-Dehkordi , Yong Zhang

In a shotgun proteomics experiment, proteins are the most biologically meaningful output. The success of proteomics studies depends on the ability to accurately and efficiently identify proteins. Many methods have been proposed to…

Quantitative Methods · Quantitative Biology 2012-11-30 Chao Yang , Zengyou He , Weichuan Yu

We introduce a model for simulating mutation of prokaryote DNA sequences. Using that model we can then evaluated traditional techniques like parsimony and maximum likelihood methods for computing phylogenetic relationships. We also use the…

Populations and Evolution · Quantitative Biology 2007-05-23 Matthew J. Berryman , Andrew Allison , Derek Abbott

We address the problem of face anti-spoofing which aims to make the face verification systems robust in the real world settings. The context of detecting live vs. spoofed face images may differ significantly in the target domain, when…

Computer Vision and Pattern Recognition · Computer Science 2021-05-19 Ankush Panwar , Pratyush Singh , Suman Saha , Danda Pani Paudel , Luc Van Gool

Revealing the functional sites of biological sequences, such as evolutionary conserved, structurally interacting or co-evolving protein sites, is a fundamental, and yet challenging task. Different frameworks and models were developed to…

Quantitative Methods · Quantitative Biology 2019-06-07 Justas Dauparas , Haobo Wang , Avi Swartz , Peter Koo , Mor Nitzan , Sergey Ovchinnikov

Given the amino acid sequence of a protein, researchers often infer its structure and function by finding homologous, or evolutionarily-related, proteins of known structure and function. Since structure is typically more conserved than…

Computational Engineering, Finance, and Science · Computer Science 2015-03-23 Noah M. Daniels

Molecular Dynamics (MD) simulations are fundamental computational tools for the study of proteins and their free energy landscapes. However, sampling protein conformational changes through MD simulations is challenging due to the relatively…

Biomolecules · Quantitative Biology 2023-07-20 Diego E. Kleiman , Hassan Nadeem , Diwakar Shukla

Replication of genetic material is an important process for all living organisms. Origins of replication initiate the copying of DNA at many points on a chromosome, and it is the distribution of these points that is relevant here, as it…

Quantitative Methods · Quantitative Biology 2025-10-16 Huw Day , N C Snaith

Protein aggregation occurs when misfolded or unfolded proteins physically bind together, and can promote the development of various amyloid diseases. This study aimed to construct surrogate models for predicting protein aggregation via…

Quantitative Methods · Quantitative Biology 2023-04-10 Seungpyo Kang , Minseon Kim , Jiwon Sun , Myeonghun Lee , Kyoungmin Min

The primary structure of proteins, that is their sequence, represents one of the most abundant set of experimental data concerning biomolecules. The study of correlations in families of co--evolving proteins by means of an inverse…

Biomolecules · Quantitative Biology 2015-06-16 Sara Lui , Guido Tiana
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