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Understanding Modularity in Molecular Networks Requires Dynamics
Relating structure and dynamics of molecular networks remains very challenging. The era of genome sequencing has produced long lists of the molecular parts from which cellular machines are constructed.
Roger P. Alexander +3 more
semanticscholar +1 more source
Information Processing in Biochemical Networks.
Living systems are characterized by controlled flows of matter, energy, and information. While the biophysics community has productively engaged with the first two, addressing information flows has been more challenging, with some scattered success in ...
G. Tkačik, P. T. Wolde
semanticscholar +1 more source
Introduction Metabolomics has become a crucial part of systems biology; however, data analysis is still often undertaken in a reductionist way focusing on changes in individual metabolites. Whilst such approaches indeed provide relevant insights into the
Leonardo Perez de Souza +3 more
semanticscholar +1 more source
Deep learning has emerged as a versatile approach for predicting complex biological phenomena. However, its utility for biological discovery has so far been limited, given that generic deep neural networks provide little insight into the biological ...
N. Fortelny, C. Bock
semanticscholar +1 more source
Cellular aging is a multifaceted complex process. Many genes and factors have been identified that regulate cellular aging. However, how these genes and factors interact with one another and how these interactions drive the aging processes in single ...
Hetian Su, Nan Hao
semanticscholar +1 more source
Environmental stresses, including drought, salinity, temperature extremes, and pathogen attacks, severely limit global agricultural productivity by disrupting plant growth, metabolism, and reproduction.
R. S. S. H. G. Alapati +6 more
semanticscholar +1 more source
BackgroundCellular decision-making is governed by molecular networks that are highly complex. An integrative understanding of these networks on a genome wide level is essential to understand cellular health and disease.
Tomoya Mori +4 more
semanticscholar +1 more source
Systems and Synthetic microRNA Biology: From Biogenesis to Disease Pathogenesis
MicroRNAs (miRNAs) are approximately 22-nucleotide-long, small non-coding RNAs that post-transcriptionally regulate gene expression. The biogenesis of miRNAs involves multiple steps, including the transcription of primary miRNAs (pri-miRNAs), nuclear ...
Hironori Matsuyama, Hiroshi I. Suzuki
semanticscholar +1 more source
Inferring Interaction Networks From Multi-Omics Data
A major goal in systems biology is a comprehensive description of the entirety of all complex interactions between different types of biomolecules—also referred to as the interactome—and how these interactions give rise to higher, cellular and organism ...
Johann S. Hawe +2 more
semanticscholar +1 more source
Modeling approaches for qualitative and semi-quantitative analysis of cellular signaling networks
A central goal of systems biology is the construction of predictive models of bio-molecular networks. Cellular networks of moderate size have been modeled successfully in a quantitative way based on differential equations.
Regina Samaga, Steffen Klamt
semanticscholar +1 more source

