Results 31 to 40 of about 3,620,832 (281)
MathSBML: a package for manipulating SBML-based biological models [PDF]
, 2004 Summary: MathSBML is a Mathematica package designed for manipulating Systems Biology Markup Language (SBML) models. It converts SBML models into Mathematica data structures and provides a platform for manipulating and evaluating these models.
Doyle, John +3 more
core +2 more sources
Frontiers in Pharmacology, 2021 Aconitine (AC), one of the bioactive diterpenoid alkaloids extracted from Aconitum plants, is widely used in traditional herbal medicine to treat various diseases.
Qing Xia +26 more
doaj +1 more source
Decoding Sequence Classification Models for Acquiring New Biological Insights [PDF]
, 2010 Classifying biological sequences is one of the most important tasks in computational biology. In the last decade, support vector machines (SVMs) in combination with sequence kernels have emerged as a de-facto standard.
Andreas Kothmeier +5 more
core +2 more sources
Robust Modelling of Biological Neuroregulators [PDF]
2005 IEEE Engineering in Medicine and Biology 27th Annual Conference, 2005 The modelling of biological neuroregulated systems is usually complex because of their non-structured and distributed architecture. Software agents are a very useful tool to use in the modelling of this kind of systems, allowing increasing the model with characteristics which are not present in the biological equivalent. This work proposes a model of a
D.R. Fernandez +5 more
openaire +4 more sources
BioDiVinE: A Framework for Parallel Analysis of Biological Models [PDF]
, 2009 In this paper a novel tool BioDiVinEfor parallel analysis of biological models is presented. The tool allows analysis of biological models specified in terms of a set of chemical reactions. Chemical reactions are transformed into a system of multi-affine
C. Belta +29 more
core +2 more sources
At the Biological Modeling and Simulation Frontier [PDF]
Pharmaceutical Research, 2009 We provide a rationale for and describe examples of synthetic modeling and simulation (M&S) of biological systems. We explain how synthetic methods are distinct from familiar inductive methods. Synthetic M&S is a means to better understand the mechanisms that generate normal and disease-related phenomena observed in research, and how compounds of ...
Hunt, C. Anthony +6 more
openaire +4 more sources
Dynamic Influence Networks for Rule-based Models [PDF]
, 2017 We introduce the Dynamic Influence Network (DIN), a novel visual analytics technique for representing and analyzing rule-based models of protein-protein interaction networks.
Boutillier, Pierre +6 more
core +5 more sources
Duplication Models for Biological Networks [PDF]
Journal of Computational Biology, 2003 Are biological networks different from other large complex networks? Both large biological and non-biological networks exhibit power-law graphs (number of nodes with degree k, N(k) ~ k-b) yet the exponents, b, fall into different ranges. This may be because duplication of the information in the genome is a dominant evolutionary force in shaping ...
Chung, Fan +3 more
openaire +3 more sources
Boolean Models of Bistable Biological Systems
, 2009 This paper presents an algorithm for approximating certain types of dynamical systems given by a system of ordinary delay differential equations by a Boolean network model.
A. Novick +16 more
core +1 more source
Virology Journal, 2023 Zika virus (ZIKV) and dengue virus (DENV) share a lot of similarities being both phylogenetically closely related, share the same insect vector passage for reaching the host, affinity for the same carbohydrate receptor domains (CRDs), indicating feasible
Bruno Stein Barbosa Menechino +5 more
doaj +1 more source