Pathway and network analysis in proteomics
Proteomics is inherently a systems science that studies not only measured protein and their
expressions in a cell, but also the interplay of proteins, protein complexes, signaling …
expressions in a cell, but also the interplay of proteins, protein complexes, signaling …
Mitigating the impact of antibacterial drug resistance through host-directed therapies: current progress, outlook, and challenges
CY Chiang, I Uzoma, RT Moore, M Gilbert… - MBio, 2018 - Am Soc Microbiol
Increasing incidences of multidrug resistance in pathogenic bacteria threaten our ability to
treat and manage bacterial infection. The development and FDA approval of novel …
treat and manage bacterial infection. The development and FDA approval of novel …
Systems biology approaches for host–fungal interactions: An expanding multi-omics frontier
Opportunistic fungal infections are an increasing threat for global health, and for
immunocompromised patients in particular. These infections are characterized by interaction …
immunocompromised patients in particular. These infections are characterized by interaction …
Systems-level analysis of innate immunity
Systems-level analysis of biological processes strives to comprehensively and quantitatively
evaluate the interactions between the relevant molecular components over time, thereby …
evaluate the interactions between the relevant molecular components over time, thereby …
[图书][B] Drug discovery targeting drug-resistant bacteria
P Kesharwani, S Chopra, A Dasgupta - 2020 - books.google.com
Drug Discovery Targeting Drug-Resistant Bacteria explores the status and possible future of
developments in fighting drug-resistant bacteria. The book covers the majority of microbial …
developments in fighting drug-resistant bacteria. The book covers the majority of microbial …
Biophysically motivated regulatory network inference: progress and prospects
Thanks to the confluence of genomic technology and computational developments, the
possibility of network inference methods that automatically learn large comprehensive …
possibility of network inference methods that automatically learn large comprehensive …
Molecular network analysis enhances understanding of the biology of mental disorders
We provide an introduction to network theory, evidence to support a connection between
molecular network structure and neuropsychiatric disease, and examples of how network …
molecular network structure and neuropsychiatric disease, and examples of how network …
TRIM32 modulates pluripotency entry and exit by directly regulating Oct4 stability
L Bahnassawy, TM Perumal, L Gonzalez-Cano… - Scientific reports, 2015 - nature.com
Induced pluripotent stem cells (iPSCs) have revolutionized the world of regenerative
medicine; nevertheless, the exact molecular mechanisms underlying their generation and …
medicine; nevertheless, the exact molecular mechanisms underlying their generation and …
Inferring gene and protein interactions using PubMed citations and consensus Bayesian networks
A Deeter, M Dalman, J Haddad, ZH Duan - PloS one, 2017 - journals.plos.org
The PubMed database offers an extensive set of publication data that can be useful, yet
inherently complex to use without automated computational techniques. Data repositories …
inherently complex to use without automated computational techniques. Data repositories …
Multilevel functional genomics data integration as a tool for understanding physiology: a network biology perspective
PK Davidsen, N Turan, S Egginton… - Journal of applied …, 2016 - journals.physiology.org
The overall aim of physiological research is to understand how living systems function in an
integrative manner. Consequently, the discipline of physiology has since its infancy …
integrative manner. Consequently, the discipline of physiology has since its infancy …