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RNA is a fundamental class of biomolecules that mediate a large variety of molecular processes within the cell. Computational algorithms can be of great help in the understanding of RNA structure-function relationship. One of the main…

Biomolecules · Quantitative Biology 2015-02-20 Sandro Bottaro , Francesco Di Palma , Giovanni Bussi

Instance level detection and segmentation of thoracic diseases or abnormalities are crucial for automatic diagnosis in chest X-ray images. Leveraging on constant structure and disease relations extracted from domain knowledge, we propose a…

Image and Video Processing · Electrical Eng. & Systems 2021-04-22 Jie Lian , Jingyu Liu , Shu Zhang , Kai Gao , Xiaoqing Liu , Dingwen Zhang , Yizhou Yu

Graph Neural Networks (GNNs) have emerged as a structurally natural approach for molecular toxicity prediction, operating directly on atomic connectivity without the information loss inherent to fixed-length fingerprints. However, the…

Quantitative Methods · Quantitative Biology 2026-05-27 Juergen Dietrich

We present a formal model built for verification of the hardware Tera-Scale ARchitecture (TSAR), focusing on its Distributed Hybrid Cache Coherence Protocol (DHCCP). This protocol is by nature asynchronous, concurrent and distributed, which…

Logic in Computer Science · Computer Science 2018-03-29 Quentin L. Meunier , Yann Thierry-Mieg , Emmanuelle Encrenaz

Structures and properties of many inorganic compounds have been collected historically. However, it only covers a very small portion of possible inorganic crystals, which implies the presence of numerous currently unknown compounds. A…

Materials Science · Physics 2018-04-18 Atsuto Seko , Hiroyuki Hayashi , Isao Tanaka

Proteolysis-targeting chimeras (PROTACs) represent a promising therapeutic modality that induces targeted protein degradation by hijacking the ubiquitin-proteasome system. However, rational PROTAC design remains challenging due to the…

Quantitative Methods · Quantitative Biology 2026-05-20 Stefano Ribes , Nils Dunlop , Rocío Mercado

A pharmacological effect of a drug on cells, organs and systems refers to the specific biochemical interaction produced by a drug substance, which is called its mechanism of action. Drug repositioning (or drug repurposing) is a fundamental…

Machine Learning · Computer Science 2020-05-19 Dehua Chen , Amir Jalilifard , Adriano Veloso , Nivio Ziviani

Synthetic biology is a recent area of biological engineering, whose aim is to provide cells with novel functionalities. A number of important results regarding the development of control circuits in synthetic biology have been achieved…

Systems and Control · Electrical Eng. & Systems 2024-11-11 Antón Pardo , Sandra Díaz Seoane , Dorin A. Ionescu , Antonis Papachristodoulou , Alejandro F. Villaverde

This paper studies Time Series Extrinsic Regression (TSER): a regression task of which the aim is to learn the relationship between a time series and a continuous scalar variable; a task closely related to time series classification (TSC),…

Machine Learning · Computer Science 2021-02-04 Chang Wei Tan , Christoph Bergmeir , Francois Petitjean , Geoffrey I. Webb

Surface cracks are a very common indicator of potential structural faults. Their early detection and monitoring is an important factor in structural health monitoring. Left untreated, they can grow in size over time and require expensive…

Computer Vision and Pattern Recognition · Computer Science 2022-02-09 Jacob König , Mark Jenkins , Mike Mannion , Peter Barrie , Gordon Morison

A significant challenge in wet lab experiments with current drug design generative models is the trade-off between pharmacological properties and synthesizability. Molecules predicted to have highly desirable properties are often difficult…

Machine Learning · Computer Science 2025-04-04 Songtao Liu , Dandan Zhang , Zhengkai Tu , Hanjun Dai , Peng Liu

The prediction modeling of drug-target interactions is crucial to drug discovery and design, which has seen rapid advancements owing to deep learning technologies. Recently developed methods, such as those based on graph neural networks…

Quantitative Methods · Quantitative Biology 2025-11-19 Xinnan Zhang , Jialin Wu , Junyi Xie , Tianlong Chen , Kaixiong Zhou

Understanding the nanoscale structural changes can provide the physical state of cells/tissues. It has been now shown that increases in nanoscale structural alterations are associated with the progress of carcinogenesis in most of the…

Biological Physics · Physics 2019-09-09 Prakash Adhikari , Mehedi Hasan , Vijayalakshmi Sridhar , Debarshi Roy , Prabhakar Pradhan

A key challenge in molecular biology is to decipher the mapping of protein sequence to function. To perform this mapping requires the identification of sequence features most informative about function. Here, we quantify the amount of…

Biomolecules · Quantitative Biology 2024-12-19 James Henderson , Yuta Nagano , Martina Milighetti , Andreas Tiffeau-Mayer

Time series chain (TSC) is a recently introduced concept that captures the evolving patterns in large scale time series. Informally, a time series chain is a temporally ordered set of subsequences, in which consecutive subsequences in the…

Machine Learning · Computer Science 2026-02-17 Li Zhang , Nital Patel , Xiuqi Li , Jessica Lin

Circuit topology refers to the arrangement of interactions between objects belonging to a linearly ordered object set. Linearly ordered set of objects are common in nature and occur in a wide range of applications in economics, computer…

Disordered Systems and Neural Networks · Physics 2015-09-02 Alireza Mashaghi , Abolfazl Ramezanpour

Time series classification (TSC) of biological signals has progressed from handcrafted, modality-specific approaches to deep architectures capable of representing the diverse waveform structures of underlying physiological processes (i.e.,…

Each and every biological function in living organism happens as a result of protein-protein interactions.The diseases are no exception to this. Identifying one or more proteins for a particular disease and then designing a suitable…

Computational Engineering, Finance, and Science · Computer Science 2015-07-31 Anupam Ghosh , Mainak Talukdar , Uttam Kumar Roy

The structure and degree of order in soft matter and other materials is intimately connected to the nature of the interactions between the particles. One important research goal is to find suitable control mechanisms, to enhance or suppress…

Soft Condensed Matter · Physics 2020-09-16 A. Scacchi , M. G. Mazza , A. J. Archer

Adverse Drug Reactions (ADRs) are characterized within randomized clinical trials and postmarketing pharmacovigilance, but their molecular mechanism remains unknown in most cases. Aside from clinical trials, many elements of knowledge about…