Symmetries throughout organic evolution

نویسندگان

چکیده

منابع مشابه

On time-dependent symmetries and formal symmetries of evolution equations

We present the explicit formulae, describing the structure of symmetries and formal symmetries of any scalar (1+1)-dimensional evolution equation. Using these results, the formulae for the leading terms of commutators of two symmetries and two formal symmetries are found. The generalization of these results to the case of system of evolution equations is also discussed.

متن کامل

Non-Catalytic Roles of Presenilin Throughout Evolution

Research into Alzheimer's disease pathology and treatment has often focused on presenilin proteins. These proteins provide the key catalytic activity of the γ-secretase complex in the cleavage of amyloid-β precursor protein and resultant amyloid tangle deposition. Over the last 25 years, screening novel drugs to control this aberrant proteolytic activity has yet to identify effective treatments...

متن کامل

Isotropic models of evolution with symmetries

We consider isotropic Markov models on (phylogenetic) trees whose models of evolution are symmetric, that is invariant with respect to a transitive group of permutations of letters whose evolution we consider. Transitivity of the action of the group of symmetries implies strong bounds on the space of parameters of such a model. A special consideration is given to groups of symmetries containing...

متن کامل

On symmetries of KdV-like evolution equations

It is well known that provided scalar (1+1)-dimensional evolution equation possesses the infinitedimensional commutative Lie algebra of time-independent non-classical symmetries, it is either linearizable or integrable via inverse scattering transform [1, 2]. The standard way to prove the existence of such algebra is to construct the recursion operator [2]. But Fuchssteiner [3] suggested an alt...

متن کامل

Artificial Neural Networks, Symmetries and Differential Evolution

Neuroevolution is an active and growing research field, especially in times of increasingly parallel computing architectures. Learning methods for Artificial Neural Networks (ANN) can be divided into two groups. Neuroevolution is mainly based on Monte-Carlo techniques and belongs to the group of global search methods, whereas other methods such as backpropagation belong to the group of local se...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Proceedings of the National Academy of Sciences

سال: 1996

ISSN: 0027-8424,1091-6490

DOI: 10.1073/pnas.93.25.14229