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An autocatalytic pattern matching polymer system is studied as an abstract model for chemical ecosystem evolution. Highly ordered populations with particular sequence patterns appear spontaneously out of a vast number of possible states.…

Molecular Networks · Quantitative Biology 2015-06-17 Shinpei Tanaka , Harold Fellermann , Steen Rasmussen

The functionality of catalysts, enzymes, and supramolecular assemblies emerges not from individual molecules alone, but from the subtle interplay between multiple components arranged in complex systems. Designing such systems is a grand…

Computational Physics · Physics 2026-04-15 Rhyan Barrett , Robin Curth , Julia Westermayr

Recent progress of deep generative models in the vision and language domain has stimulated significant interest in more structured data generation such as molecules. However, beyond generating new random molecules, efficient exploration and…

Machine Learning · Computer Science 2024-11-08 Guanghao Wei , Yining Huang , Chenru Duan , Yue Song , Yuanqi Du

Biomolecular condensates help organize the cell cytoplasm and nucleoplasm into spatial compartments with different chemical compositions. A key feature of such compositional patterning is the local enrichment of enzymatically active…

Biological Physics · Physics 2024-08-06 Andriy Goychuk , Leonardo Demarchi , Ivan Maryshev , Erwin Frey

In many scientific fields, there is an interest in understanding the way in which complex chemical networks evolve. The chemical networks which researchers focus upon, have become increasingly complex and this has motivated the development…

It has been pointed out that if an autocatalytic cycle produces primitive membrane chemicals, it can compose a self-maintaining proto cell. Moreover, it is known that a proto cell can divide itself spontaneously as it grows. An unsolved…

Adaptation and Self-Organizing Systems · Physics 2007-05-23 N. Ono , T. Ikegami

The bottom-up construction of synthetic cells is one of the most intriguing and interesting research arenas in synthetic biology. Synthetic cells are built by encapsulating biomolecules inside lipid vesicles (liposomes), allowing the…

Computational Engineering, Finance, and Science · Computer Science 2013-10-01 Giordano Rampioni , Luisa Damiano , Marco Messina , Francesca D'Angelo , Livia Leoni , Pasquale Stano

The universality of many pathways of core metabolism suggests a strong role for evolutionary selection, but it remains unclear whether existing pathways have been selected from a large or small set of biochemical possibilities. To address…

Molecular Networks · Quantitative Biology 2015-10-05 Steven J. Court , Bartlomiej Waclaw , Rosalind J. Allen

Fueled by advances in hardware and algorithm design, large-scale automated explorations of chemical reaction space have become possible. Here, we present our approach to an open-source, extensible framework for explorations of chemical…

Chemical Physics · Physics 2022-08-30 Jan P. Unsleber , Stephanie A. Grimmel , Markus Reiher

Retrosynthesis prediction is a fundamental problem in organic synthesis, where the task is to identify precursor molecules that can be used to synthesize a target molecule. A key consideration in building neural models for this task is…

Machine Learning · Computer Science 2021-06-07 Vignesh Ram Somnath , Charlotte Bunne , Connor W. Coley , Andreas Krause , Regina Barzilay

Extraterrestrial amino acids, the chemical building blocks of the biopolymers that comprise life as we know it on Earth are present in meteoritic samples. More recently, glycine (NH$_2$CH$_2$COOH), the simplest amino acid, was detected by…

Astrophysics of Galaxies · Physics 2018-10-17 Brett A. McGuire , P. Brandon Carroll , Robin T. Garrod

Early theoretical work revealed that the simplest class of autocatalytic cycles, known as hypercycles, provide an elegant framework for understanding the evolution of mutualism. Furthermore, hypercycles are highly susceptible to parasites,…

Biological Physics · Physics 2017-11-01 Daniel R. Amor , Raúl Montañez , Salva Duran-Nebreda , Ricard Solé

In previous work, RAF theory has been developed as a tool for making theoretical progress on the origin of life question, providing insight into the structure and occurrence of self-sustaining and collectively autocatalytic sets within…

Molecular Networks · Quantitative Biology 2013-10-18 Joshua I Smith , Mike Steel , Wim Hordijk

Deep generative models are able to suggest new organic molecules by generating strings, trees, and graphs representing their structure. While such models allow one to generate molecules with desirable properties, they give no guarantees…

Machine Learning · Computer Science 2019-12-05 John Bradshaw , Brooks Paige , Matt J. Kusner , Marwin H. S. Segler , José Miguel Hernández-Lobato

Chemical space exploration underlies drug discovery, yet most generative models treat chemical space as a fixed, implicitly learned distribution, focusing on sampling molecules rather than deliberately designing the space itself. We…

This article presents the results of a study concerning interstellar molecules which are useful for the bookkeeping of the organic content of the universe and for providing a glimpse into prebiotic conditions on Earth and in other…

Astrophysics of Galaxies · Physics 2021-06-10 Luciene da Silva Coelho , Amâncio César dos Santos Friaça , Edgar Mendoza

The origin of life must have been preceded by Darwin-like evolutionary dynamics that could propagate it. How did that adaptive dynamics arise? And from what prebiotic molecules? Using evolutionary invasion analysis, we develop a universal…

Populations and Evolution · Quantitative Biology 2024-07-25 Charles D. Kocher , Ken A. Dill

The formation of complex organic molecules in the interstellar medium (ISM) is central to astrochemistry and prebiotic chemistry, as these species may act as precursors to biomolecules essential for life. Although glyceraldehyde…

Astrophysics of Galaxies · Physics 2025-05-06 Anxo Lema-Saavedra , Antonio Fernández-Ramos , Emilio Martínez-Núñez

The development of novel pharmaceuticals represents a significant challenge in modern science, with substantial costs and time investments. Deep generative models have emerged as promising tools for accelerating drug discovery by…

Atomic Physics · Physics 2025-05-20 Adarsh Singh

The emergence of self-sustaining autocatalytic networks in chemical reaction systems has been studied as a possible mechanism for modelling how living systems first arose. It has been known for several decades that such networks will form…

Molecular Networks · Quantitative Biology 2020-11-24 Stuart Kauffman , Mike Steel