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Materials discovery is decisive for tackling urgent challenges related to energy, the environment, health care and many others. In chemistry, conventional methodologies for innovation usually rely on expensive and incremental strategies to…

Machine Learning · Computer Science 2020-06-09 Daniel Schwalbe-Koda , Rafael Gómez-Bombarelli

The heterogeneity of reaction fluxes present in a metabolic network within a single flux state can be exploited to construct the so-called backbone as a reduced version of metabolism. The backbone maintains all significant fluxes producing…

Molecular Networks · Quantitative Biology 2016-02-23 Oriol Güell , Francesc Sagués , M. Ángeles Serrano

Drug discovery is a complex, resource-intensive process requiring significant time and cost to bring new medicines to patients. Many generative models aim to accelerate drug discovery, but few produce synthetically accessible molecules.…

Machine Learning · Computer Science 2025-01-30 Zygimantas Jocys , Zhanxing Zhu , Henriette M. G. Willems , Katayoun Farrahi

Graph neural networks (GNNs) have been used extensively for addressing problems in drug design and discovery. Both ligand and target molecules are represented as graphs with node and edge features encoding information about atomic elements…

Machine Learning · Computer Science 2021-10-14 Dhananjay Bhaskar , Jackson D. Grady , Michael A. Perlmutter , Smita Krishnaswamy

Analyzing synthesis pathways for target molecules in a chemical reaction network annotated with information on the kinetics of individual reactions is an area of active study. This work presents a computational methodology for searching for…

Computational Engineering, Finance, and Science · Computer Science 2026-03-31 Adittya Pal , Rolf Fagerberg , Jakob Lykke Andersen , Peter Dittrich , Daniel Merkle

The notion of (auto) catalytic networks has become a cornerstone in understanding the possibility of a sudden dramatic increase of diversity in biological evolution as well as in the evolution of social and economical systems. Here we study…

Other Condensed Matter · Physics 2016-10-05 Rudolf Hanel , Stuart A. Kauffman , Stefan Thurner

The chemistry of an astrophysical environment is closely coupled to its dynamics, the latter often found to be complex. Hence, to properly model these environments a 3D context is necessary. However, solving chemical kinetics within a 3D…

Computational Physics · Physics 2024-05-07 S. Maes , F. De Ceuster , M. Van de Sande , L. Decin

The integration of various types of genomic data into predictive models of biological networks is one of the main challenges currently faced by computational biology. Constraint-based models in particular play a key role in the attempt to…

Molecular Networks · Quantitative Biology 2012-06-25 Daniele De Martino , Matteo Figliuzzi , Andrea De Martino , Enzo Marinari

Template directed replication of nucleic acids is at the essence of all living beings and a major milestone for any origin of life scenario. We here present an idealized model of prebiotic sequence replication, where binary polymers act as…

Molecular Networks · Quantitative Biology 2017-12-20 Harold Fellermann , Shinpei Tanaka , Steen Rasmussen

From medicines to materials, small organic molecules are indispensable for human well-being. To plan their syntheses, chemists employ a problem solving technique called retrosynthesis. In retrosynthesis, target molecules are recursively…

Artificial Intelligence · Computer Science 2018-04-17 Marwin H. S. Segler , Mike Preuss , Mark P. Waller

The emergence of autocatalytic sets of molecules seems to have played an important role in the origin of life context. Although the possibility to reproduce this emergence in laboratory has received considerable attention, this is still far…

Adaptation and Self-Organizing Systems · Physics 2015-02-04 Alessandro Filisetti , Marco Villani , Chiara Damiani , Alex Graudenzi , Andrea Roli , Wim Hordijk , Roberto Serra

Generative artificial intelligence has revolutionized the exploration of chemical space, yet a critical bottleneck remains that a substantial fraction of generated molecules is synthetically inaccessible. Current solutions, such as post-hoc…

Artificial Intelligence · Computer Science 2025-12-24 Junren Li , Luhua Lai

Generating graphs with hierarchical structures remains a fundamental challenge due to the limitations of Euclidean geometry in capturing exponential complexity. Here we introduce \textbf{GGBall}, a novel hyperbolic framework for graph…

Machine Learning · Computer Science 2026-02-20 Tianci Bu , Chuanrui Wang , Hao Ma , Haoren Zheng , Xin Lu , Tailin Wu

Autocatalytic sets are sets of entities that mutually catalyse each other's production through chemical reactions from a basic food source. Recently, the reflexively autocatalytic and food generated theory has introduced a formal definition…

Adaptation and Self-Organizing Systems · Physics 2020-09-15 Alessandro Ravoni

Catalysis, the acceleration of product formation by a substance that is left unchanged, typically results from multiple elementary processes, including diffusion of the reactants toward the catalyst, chemical steps, and release of the…

Chemical Physics · Physics 2023-12-27 Yann Sakref , Maitane Muñoz-Basagoiti , Zorana Zeravcic , Olivier Rivoire

Drug discovery is a complex process that involves multiple stages and tasks. However, existing molecular generative models can only tackle some of these tasks. We present Generalist Molecular generative model (GenMol), a versatile framework…

Machine Learning · Computer Science 2025-07-24 Seul Lee , Karsten Kreis , Srimukh Prasad Veccham , Meng Liu , Danny Reidenbach , Yuxing Peng , Saee Paliwal , Weili Nie , Arash Vahdat

A general and basic model of primordial evolution--a soup of reacting finitary and discrete processes--is employed to identify and analyze fundamental mechanisms that generate and maintain complex structures in prebiotic systems. The…

Populations and Evolution · Quantitative Biology 2016-11-23 Olof Gornerup , James P. Crutchfield

Context. The detection of NH2CH2CH2OH (ethanolamine) in molecular cloud G+0.693-0.027 adds an additional player to the prebiotic molecules discovered so far in the interstellar medium (ISM). As this molecule might be formed through…

Astrophysics of Galaxies · Physics 2024-01-26 D. Alberton , N. Inostroza-Pino , Ryan C. Fortenberry , V. Lattanzi , C. Endres , J. Fuentealba Zamponi , P. Caselli

Biological cells with all of their surface structure and complex interior stripped away are essentially vesicles - membranes composed of lipid bilayers which form closed sacs. Vesicles are thought to be relevant as models of primitive…

Statistical Mechanics · Physics 2015-05-18 Pietro de Anna , Francesca Di Patti , Duccio Fanelli , Alan J. McKane , Thierry Dauxois

The famous Miller-Urey experiment, which provides essential information on the prebiotic synthesis of the molecules of life, still has many obscure points. In this paper, we want to suggest a way of possible future progress, which consists…

Plasma Physics · Physics 2019-12-03 Gaia Micca Longo , Vincenzo Laporta , Savino Longo