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The game has been endorsed by the Journal of Cell Science. [1]Alex Rosenwald, in a review for Board Game Quest, stated that the concept of protein synthesis "shines through in all facets of gameplay", with the game mechanics and organelle cell functions aligning into an "immersive experience of creating and transporting various chemicals in and out of the cells". [3]
Cell mechanics is a sub-field of biophysics that focuses on the mechanical properties and behavior of living cells and how it relates to cell function. [1] It encompasses aspects of cell biophysics , biomechanics , soft matter physics and rheology , mechanobiology and cell biology .
By studying these mechanical properties, greater insight will be gained in regards to disease. Thus, the goal of understanding cell biomechanics is to combine theoretical, experimental, and computational approaches to construct a realistic description of cell mechanical behaviors to provide new insights on the role of mechanics in disease. [2]
Mechanobiology is an emerging field of science at the interface of biology, engineering, chemistry and physics. It focuses on how physical forces and changes in the mechanical properties of cells and tissues contribute to development, cell differentiation, physiology, and disease.
Cell to Singularity (also known as Cell to Singularity: Evolution Never Ends), is an incremental game released by Computer Lunch in 2018. Utilizing idle game mechanics, this game teaches players about evolution, science and the humanities.
A cellular automaton consists of a regular grid of cells, each in one of a finite number of states, such as on and off (in contrast to a coupled map lattice). The grid can be in any finite number of dimensions. For each cell, a set of cells called its neighborhood is defined relative to the specified cell.
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If the left, center, and right cells are denoted (p,q,r) then the corresponding formula for the next state of the center cell can be expressed as p xor (q or r). It is called Rule 30 because in binary, 00011110 2 = 30. The following diagram shows the pattern created, with cells colored based on the previous state of their neighborhood.