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Imposing a minimum principle in the framework of the so called crystal basis model of the genetic code, we determine the structure of the minimum set of 22 anticodons which allows the translational-transcription for animal mitochondrial…

Quantitative Methods · Quantitative Biology 2014-06-06 A. Sciarrino , P. Sorba

Protein homology search underlies function annotation, structure prediction, and evolutionary analysis, but remains challenging in the "twilight zone," where global sequence similarity is weak and classical alignment methods lose…

Machine Learning · Computer Science 2026-05-29 Gabrielle Cohn , Rohan Gumaste , Minh Hoang , Vihan Lakshman

Protein-protein interactions are fundamental to many biological processes. Experimental screens have identified tens of thousands of interactions and structural biology has provided detailed functional insight for select 3D protein…

Neuroscience and artificial intelligence (AI) both face the challenge of interpreting high-dimensional neural data, where the comparative analysis of such data is crucial for revealing shared mechanisms and differences between these complex…

Neurons and Cognition · Quantitative Biology 2025-09-16 Yiqing Bo , Ansh Soni , Sudhanshu Srivastava , Meenakshi Khosla

Algorithms that detect covariance between pairs of columns in multiple sequence alignments are commonly employed to predict functionally important residues and structural contacts. However, the assumption that co-variance only occurs…

Quantitative Methods · Quantitative Biology 2014-01-07 Kyle E. Kreth , Anthony A. Fodor

Cosine-similarity is the cosine of the angle between two vectors, or equivalently the dot product between their normalizations. A popular application is to quantify semantic similarity between high-dimensional objects by applying…

Information Retrieval · Computer Science 2024-03-11 Harald Steck , Chaitanya Ekanadham , Nathan Kallus

Genome-wide binding preferences of the key components of eukaryotic pre-initiation complex (PIC) have been recently measured with high resolution in Saccharomyces cerevisiae by Rhee and Pugh (Nature (2012) 483:295-301). Yet the rules…

Biomolecules · Quantitative Biology 2013-03-07 Ariel Afek , David B. Lukatsky

Given the stochastic nature of gene expression, genetically identical cells exposed to the same environmental inputs will produce different outputs. This heterogeneity has been hypothesized to have consequences for how cells are able to…

Molecular Networks · Quantitative Biology 2020-08-19 Manuel Razo-Mejia , Sarah Marzen , Griffin Chure , Rachel Taubman , Muir Morrison , Rob Phillips

Generative AI (GenAI) is increasingly used in collaborative learning, yet its effects on how groups regulate collaboration remain unclear. Effective collaboration depends not only on what groups discuss, but on how they jointly manage…

Artificial Intelligence · Computer Science 2026-04-10 Yujing Zhang , Xianghui Meng , Shihui Feng , Jionghao Lin

The evolutionary reason for the increase in gene length from archaea to prokaryotes to eukaryotes observed in large scale genome sequencing efforts has been unclear. We propose here that the increasing complexity of protein-protein…

Molecular Networks · Quantitative Biology 2009-11-10 Taison Tan , Daan Frenkel , Vishal Gupta , Michael W. Deem

Imposing a minimum principle in the framework of the so called crystal basis model of the genetic code, we determine the structure of the minimum set of anticodons which allows the translational-transcription for animal mitochondrial code.…

Quantitative Methods · Quantitative Biology 2011-10-21 A. Sciarrino , P. Sorba

Two processes can influence the evolution of protein interaction networks: addition and elimination of interactions between proteins, and gene duplications increasing the number of proteins and interactions. The rates of these processes can…

Statistical Mechanics · Physics 2007-05-23 A. Wagner

Sequence comparison and alignment has had an enormous impact on our understanding of evolution, biology, and disease. Comparison and alignment of biological networks will likely have a similar impact. Existing network alignments use…

Molecular Networks · Quantitative Biology 2009-10-08 Oleksii Kuchaiev , Tijana Milenkovic , Vesna Memisevic , Wayne Hayes , Natasa Przulj

Functional protein-protein interactions are crucial in most cellular processes. They enable multi-protein complexes to assemble and to remain stable, and they allow signal transduction in various pathways. Functional interactions between…

Biomolecules · Quantitative Biology 2018-11-14 Anne-Florence Bitbol

The ongoing functional annotation of proteins relies upon the work of curators to capture experimental findings from scientific literature and apply them to protein sequence and structure data. However, with the increasing use of…

Genomics · Quantitative Biology 2015-06-12 Alexandra M. Schnoes , David C. Ream , Alexander W. Thorman , Patricia C. Babbitt , Iddo Friedberg

Compound-Protein Interaction (CPI) prediction aims to predict the pattern and strength of compound-protein interactions for rational drug discovery. Existing deep learning-based methods utilize only the single modality of protein sequences…

Biomolecules · Quantitative Biology 2024-02-14 Lirong Wu , Yufei Huang , Cheng Tan , Zhangyang Gao , Bozhen Hu , Haitao Lin , Zicheng Liu , Stan Z. Li

Directed cographs (di-cographs) play a crucial role in the reconstruction of evolutionary histories of genes based on homology relations which are binary relations between genes. A variety of methods based on pairwise sequence comparisons…

Discrete Mathematics · Computer Science 2018-05-04 Nikolai Nøjgaard , Nadia El-Mabrouk , Daniel Merkle , Nikolas Wieseke , Marc Hellmuth

Prion and prion-like molecules are a type of self replicating aggregate protein that have been implicated in a variety of neurodegenerative diseases. Over recent decades the molecular dynamics of prions have been characterized both…

Populations and Evolution · Quantitative Biology 2022-07-06 Saul Acevedo , Alexander J. Stewart

Conformation of a protein (CorA) is examined in a matrix with mobile solute constituents as a function of solute-residue interaction strength (f) by a coarse-grained model with a Monte Carlo simulation. Solute particles are found to reach…

Biological Physics · Physics 2020-08-26 Warin Rangubpit , Sunan Kitjaruwankul , Pornthep Sompornpisut , R. B. Pandey

The standard methods for detecting differential gene expression are mostly designed for analyzing a single gene expression experiment. When data from multiple related gene expression studies are available, separately analyzing each study is…

Methodology · Statistics 2013-11-07 Yingying Wei , Hongkai Ji