AIMC Topic: Computers, Molecular

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Discovery of small molecule binders of human FSHR(TMD) with novel structural scaffolds by integrating structural bioinformatics and machine learning algorithms.

Journal of molecular graphics & modelling
BACKGROUND: The activation of follicle stimulating hormone receptor (FSHR) by FSH and the consequent downstream signaling activities are crucial for reproductive health. The role of FSHR in tumor progression as well as osteoporosis advancement has al...

On String Languages Generated by Spiking Neural P Systems With Structural Plasticity.

IEEE transactions on nanobioscience
Spiking neural P systems (SNP systems) are parallel and non-deterministic models of computation, inspired by the neural system of the brain. A variant of SNP systems known as SNP systems with structural plasticity (SNPSP systems) includes the feature...

P Systems-Based Computing Polynomials With Integer Coefficients: Design and Formal Verification.

IEEE transactions on nanobioscience
Automatic design of mechanical procedures solving abstract problems is a relevant scientific challenge. In particular, automatic design of membranes systems performing some prefixed tasks is an important and useful research topic in the area of Natur...

DNA Implementation of Fuzzy Inference Engine: Towards DNA Decision-Making Systems.

IEEE transactions on nanobioscience
Decision-making systems are an integral part of any autonomous device. With the recent developments in bio-nanorobots, smart drugs, and engineered viruses, there is an immediate need of decision-making systems which are bio-compatible in nature. DNA ...

On the Universality and Non-Universality of Spiking Neural P Systems With Rules on Synapses.

IEEE transactions on nanobioscience
Spiking neural P systems with rules on synapses are a new variant of spiking neural P systems. In the systems, the neuron contains only spikes, while the spiking/forgetting rules are moved on the synapses. It was obtained that such system with 30 neu...

Construction of a fuzzy and Boolean logic gates based on DNA.

Small (Weinheim an der Bergstrasse, Germany)
Logic gates are devices that can perform logical operations by transforming a set of inputs into a predictable single detectable output. The hybridization properties, structure, and function of nucleic acids can be used to make DNA-based logic gates....

Multiple-input and multiple-output encoders with DNA-based winner-take-all neural Networks.

Neural networks : the official journal of the International Neural Network Society
DNA logic circuits are essential building blocks for molecular computers. Traditional molecular logic circuits primarily use basic gate circuits as computational units, achieving complex functions via multiple cascades. However, even simple logical f...

A Novel Linear Machine Learning Method Based on DNA Hybridization Reaction Circuit.

IEEE transactions on nanobioscience
DNA hybridization reaction is a significant technology in the field of semi-synthetic biology and holds great potential for use in biological computation. In this study, we propose a novel machine learning model based on a DNA hybridization reaction ...

Nonlinear manipulation and analysis of large DNA datasets.

Nucleic acids research
Information processing functions are essential for organisms to perceive and react to their complex environment, and for humans to analyze and rationalize them. While our brain is extraordinary at processing complex information, winner-take-all, as a...

Construction of Molecular Robots from Microtubules for Programmable Swarming.

Methods in molecular biology (Clifton, N.J.)
Swarm robotics has been attracting much attention in recent years in the field of robotics. This chapter describes a methodology for the construction of molecular swarm robots through precise control of active self-assembly of microtubules (MTs). Det...