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Self-reproducing catalytic micelles as nanoscopic protocell precursors
Protocells at life's origin are often conceived as bilayer-enclosed precursors of life, whose
self-reproduction rests on the early advent of replicating catalytic biopolymers. This …
self-reproduction rests on the early advent of replicating catalytic biopolymers. This …
Two heads are better than one: current landscape of integrating QSP and machine learning: an ISoP QSP SIG white paper by the working group on the integration of …
Quantitative systems pharmacology (QSP) modeling is applied to address essential
questions in drug development, such as the mechanism of action of a therapeutic agent and …
questions in drug development, such as the mechanism of action of a therapeutic agent and …
Evolutionary computation in bioinformatics: A survey
Bioinformatics is a subject that studies life phenomena by using mathematical and
information science theories and techniques. Its main tasks, such as DNA sequence …
information science theories and techniques. Its main tasks, such as DNA sequence …
Benchmarking chemical neural ordinary differential equations to obtain reaction network-constrained kinetic models from spectroscopic data
Kinetic model identification relies on accurate concentration measurements and physical
constraints to limit solution multiplicity. Not having these measurements and prior knowledge …
constraints to limit solution multiplicity. Not having these measurements and prior knowledge …
[HTML][HTML] A review of automated and data-driven approaches for pathway determination and reaction monitoring in complex chemical systems
In this work, we review the state of the art on approaches for the determination of reaction
networks and the real-time monitoring of reactions in complex chemical systems consisting …
networks and the real-time monitoring of reactions in complex chemical systems consisting …
[ספר][B] Boolean Networks as Predictive Models of Emergent Biological Behaviors
JC Rozum, C Campbell, E Newby, FSF Nasrollahi… - 2024 - cambridge.org
Interacting biological systems at all organizational levels display emergent behavior.
Modeling these systems is made challenging by the number and variety of biological …
Modeling these systems is made challenging by the number and variety of biological …
Differential equations in data analysis
Differential equations have proven to be a powerful mathematical tool in science and
engineering, leading to better understanding, prediction, and control of dynamic processes …
engineering, leading to better understanding, prediction, and control of dynamic processes …
Boolean networks as predictive models of emergent biological behaviors
Interacting biological systems at all organizational levels display emergent behavior.
Modeling these systems is made challenging by the number and variety of biological …
Modeling these systems is made challenging by the number and variety of biological …
LinChemIn: SynGraph—a data model and a toolkit to analyze and compare synthetic routes
Background The increasing amount of chemical reaction data makes traditional ways to
navigate its corpus less effective, while the demand for novel approaches and instruments is …
navigate its corpus less effective, while the demand for novel approaches and instruments is …
Kinetic Modeling and Meta-Analysis of the Bacillus subtilis SigB Regulon during Spore Germination and Outgrowth
J Vohradsky, M Schwarz, O Ramaniuk… - Microorganisms, 2021 - mdpi.com
The exponential increase in the number of conducted studies combined with the
development of sequencing methods have led to an enormous accumulation of partially …
development of sequencing methods have led to an enormous accumulation of partially …