Investigating the anti-obesity potential of Nelumbo nucifera leaf bioactive compounds through machine learning and computational biology methods. [PDF]
Huang H +5 more
europepmc +1 more source
A fully flexible ion‐gel‐gated graphene‐channel transistor driven by a triboelectric nanogenerator enables self‐powered tactile sensing and synaptic learning. Mimicking spike‐rate‐dependent plasticity, the device exhibits frequency‐selective potentiation and depression, supporting rate‐coded neuromorphic computation even under flex.
Hanseong Cho +3 more
wiley +1 more source
Assembling a True “Olympic Gel” From over 16 000 Combinatorial DNA Rings
Olympic gels are an elusive class of soft matter, consisting of molecular networks held together purely by mechanically interlocked rings. Their topological structure promises unique properties and functions, but their synthesis has proven notoriously difficult.
Sarah K. Speed +9 more
wiley +1 more source
Editorial: Big data and artificial intelligence for genomics and therapeutics - Proceedings of the 19th Annual Meeting of the MidSouth Computational Biology and Bioinformatics Society (MCBIOS). [PDF]
Hong H +3 more
europepmc +1 more source
In Silico Insights into the Arsenic Binding Mechanism Deploying Application of Computational Biology-Based Toolsets. [PDF]
Ahmad I +10 more
europepmc +1 more source
Design of multi-epitope vaccine against porcine rotavirus using computational biology and molecular dynamics simulation approaches. [PDF]
Zhu X, Wang X, Liu T, Zhang D, Jin T.
europepmc +1 more source
The rise of computational biology
The year 2001 saw a remarkable burst of interest in biological simulation, with several international meetings on the subject, and the inclusion, by journals, of web site references from which published models can be downloaded. So, why has all this happened so suddenly?
Denis Noble
exaly +5 more sources
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Explaining Biology to Computers
OMICS: A Journal of Integrative Biology, 2003THE KEY TO INTEROPERATION and therefore to computer-empowerment in biology will be a technology infrastructure that supports the development and use of a repertoire of pragmatically driven, longitudinally maintained, terminology models that “explain biology to computers.” Called “Reference Terminology Models,” these resources name and relate concepts ...
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Computational biology on parallel computers
2003 European Control Conference (ECC), 2003Several applications in computational biology have large runtime and memory requirements either because of large data sizes or the inherent time and memory complexity of the underlying algorithms. Parallel computing is an effective way to address both these concerns — run-time can be reduced by the use of multiple processors to solve the same problem ...
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