Molecular self-assembly is the spontaneous association of molecules under equilibrium conditions into stable, structurally well-defined aggregates joined by noncovalent bonds. Molecular self-assembly is ubiquitous in biological systems and underlies the formation of a wide variety of complex biological structures. Understanding self-assembly and the associated noncovalent interactions that connect complementary interacting molecular surfaces in biological aggregates is a central concern in structural biochemistry. Self-assembly is also emerging as a new strategy in chemical synthesis, with the potential of generating nonbiological structures with dimensions of 1 to 10(2) nanometers (with molecular weights of 10(4) to 10(10) daltons). Structures in the upper part of this range of sizes are presently inaccessible through chemical synthesis, and the ability to prepare them would open a route to structures comparable in size (and perhaps complementary in function) to those that can be prepared by microlithography and other techniques of microfabrication.

Molecular self-assembly and nanochemistry: A chemical strategy for the synthesis of nanostructures

http://profs.scienze.univr.it/~manca/mnc/membrane.pdf

A guide to membrane computing

This is a comprehensive (and friendly) introduction to membrane computing (MC), meant to offer both computer scientists and non-computer scientists an up-to-date overview of the field. That is why the set of notions introduced here is rather large, but the presentation is informal, without proofs and with rigorous definitions given only for the basic types of P systems — symbol object P systems with multiset rewriting rules, systems with symport/antiport rules, systems with string objects, tissue-like P systems, and neural-like P systems. Besides a list of (biologically inspired or mathematically motivated) ingredients/features which can be used in systems of these types, we also mention a series of results, as well as a series of research trends and topics.

/pdf/introduction-to-membrane-computing-5cngwvz0yk.pdf

Introduction to Membrane Computing

Supply chain scheduling: sequence coordination

Computational complexity of tissue-like P systems

P Systems with Replicated Rewriting.

The study of tissue P systems was initiated in [6], inspired from the way neurons cooperate, processing impulses in the complex net established by synapses. These systems use multisets of objects for processing, and it was shown that computational completeness can be achieved using a small number of cells and states. In this paper, we use string objects as the underlying data structure. The control structure used is a restricted form of contextual rules and rewriting rules. We obtain two characterizations of recursively enumerable languages using these systems: tP systems having 2 states and 2 cells as well as tP systems having 4 states and a single cell generate all recursively enumerable languages. We also discuss the relationships with ETOL and EOL languages.

Tissue P Systems with Contextual and Rewriting Rules

Array Contextual Grammars.

We consider the problem BLOCK-SORTING: Given a permutation, sort it by using a minimum number of block moves, where a block is a maximal substring of the permutation which is also a substring of th...

Approximate block sorting

In this paper the concept of splicing is extended to arrays and array or 2D splicing systems are defined. Various subclasses of 2D splicing systems are defined and a restricted class viz. finite simple splicing systems is studied. The hierarchy among the various subclasses of finite simple splicing systems and their relationship to the strictly locally testable languages are established.

Raghavan Rama

Papers

P Systems with Replicated Rewriting.

Tissue P Systems with Contextual and Rewriting Rules

Array Contextual Grammars.

Approximate block sorting

Array Splicing Systems