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The binding between proteins and ligands plays a crucial role in the realm of drug discovery. Previous deep learning approaches have shown promising results over traditional computationally intensive methods, but resulting in poor…

Biomolecules · Quantitative Biology 2023-11-29 Shikun Feng , Minghao Li , Yinjun Jia , Weiying Ma , Yanyan Lan

Text alignment finds application in tasks such as citation recommendation and plagiarism detection. Existing alignment methods operate at a single, predefined level and cannot learn to align texts at, for example, sentence and document…

Computation and Language · Computer Science 2020-10-06 Xuhui Zhou , Nikolaos Pappas , Noah A. Smith

We consider a basic communication and sensing setup comprising a transmitter, a receiver and a sensor. The transmitter sends an encoded sequence to the receiver through a discrete memoryless channel, and the receiver is interested in…

Information Theory · Computer Science 2022-05-11 Han Wu , Hamdi Joudeh

Eukaryotic cells perform chemotaxis by determining the direction of chemical gradients based on stochastic sensing of concentrations at the cell surface. To examine the efficiency of this process, previous studies have investigated the…

Cell Behavior · Quantitative Biology 2025-02-06 Kento Nakamura , Tetsuya J. Kobayashi

Cells rely on the ability to sense and respond to small spatial differences in chemoattractant concentrations for survival. There is growing evidence that this is accomplished by setting the signaling system near the threshold for…

Cell Behavior · Quantitative Biology 2022-05-19 Debojyoti Biswas , Parijat Banerjee , Pablo A. Iglesias

Microbial communities frequently communicate via quorum sensing (QS), where cells produce, secrete, and respond to a threshold level of an autoinducer (AI) molecule, thereby modulating gene expression. However, the biology of QS remains…

Molecular Networks · Quantitative Biology 2017-08-02 Tahir Yusufaly , James Q. Boedicker

Molecular Communications (MC) is a bio-inspired communication technique that uses molecules to encode and transfer information. Many efforts have been focused on developing new modulation techniques for MC by exploiting distinguishable…

Emerging Technologies · Computer Science 2022-05-27 M. Serkan Kopuzlu , M. Okan Araz , Ahmet R. Emirdagi , Murat Kuscu

Identification of cognates across related languages is one of the primary problems in historical linguistics. Automated cognate identification is helpful for several downstream tasks including identifying sound correspondences,…

Computation and Language · Computer Science 2024-02-07 V. S. D. S. Mahesh Akavarapu , Arnab Bhattacharya

The molecular recognition of T-cell receptors is the hallmark of the adaptive immunity. Given the finiteness of the T-cell repertoire, individual T-cell receptors are necessary to be cross-reactive to multiple antigenic peptides. In this…

Cell Behavior · Quantitative Biology 2024-02-15 Jin Xu , Junghyo Jo

Collective cell migration in response to a chemical cue occurs in many biological processes such as morphogenesis and cancer metastasis. Clusters of migratory cells in these systems are capable of responding to gradients of less than 1%…

Biological Physics · Physics 2016-08-24 Julien Varennes , Bumsoo Han , Andrew Mugler

Signalling pathways are abstractions that help life scientists structure the coordination of cellular activity. Cross-talk between pathways accounts for many of the complex behaviours exhibited by signalling pathways and is often critical…

Computational Engineering, Finance, and Science · Computer Science 2010-02-23 Robin Donaldson , Muffy Calder

Multi-task learning (MTL) has been widely used in recommender systems, wherein predicting each type of user feedback on items (e.g, click, purchase) are treated as individual tasks and jointly trained with a unified model. Our key…

Information Retrieval · Computer Science 2022-03-29 Chenxiao Yang , Junwei Pan , Xiaofeng Gao , Tingyu Jiang , Dapeng Liu , Guihai Chen

Accurate prediction of protein-ligand binding affinity is critical for drug discovery. While recent deep learning approaches have demonstrated promising results, they often rely solely on structural features of proteins and ligands,…

Machine Learning · Computer Science 2026-01-23 Han Liu , Keyan Ding , Peilin Chen , Yinwei Wei , Liqiang Nie , Dapeng Wu , Shiqi Wang

In this paper, diffusion-based molecular commu- nication with ligand receptor receivers is studied. Information messages are assumed to be encoded via variations of the con- centration of molecules. The randomness in the ligand reception…

Information Theory · Computer Science 2015-11-10 Mehrdad Tahmasbi , Faramarz Fekri

Recent studies reported complex post-transcriptional interplay among targets of a common pool of microRNAs, a class of small non-coding downregulators of gene expression. Behaving as microRNA-sponges, distinct RNA species may compete for…

Olfactory receptor usage is highly heterogeneous, with some receptor types being orders of magnitude more abundant than others. We propose an explanation for this striking fact: the receptor distribution is tuned to maximally represent…

Neurons and Cognition · Quantitative Biology 2019-01-23 Tiberiu Tesileanu , Simona Cocco , Remi Monasson , Vijay Balasubramanian

In this paper, we address task-oriented (or goal-oriented) communications where an encoder at the transmitter learns compressed latent representations of data, which are then transmitted over a wireless channel. At the receiver, a decoder…

Machine Learning · Computer Science 2024-11-18 Yalin E. Sagduyu , Tugba Erpek , Aylin Yener , Sennur Ulukus

Gradient sensing underlies important biological processes including morphogenesis, polarization, and cell migration. The precision of gradient sensing increases with the length of a detector (a cell or group of cells) in the gradient…

Molecular Networks · Quantitative Biology 2016-06-22 Tyler Smith , Sean Fancher , Andre Levchenko , Ilya Nemenman , Andrew Mugler

Multitask learning (MTL) has become prominent for its ability to predict multiple tasks jointly, achieving better per-task performance with fewer parameters than single-task learning. Recently, decoder-focused architectures have…

Computer Vision and Pattern Recognition · Computer Science 2024-11-07 Dimitrios Sinodinos , Narges Armanfard

Semantic communications conveys task-relevant meaning rather than focusing solely on message reconstruction, improving bandwidth efficiency and robustness for next-generation wireless systems. However, learned semantic representations can…

Networking and Internet Architecture · Computer Science 2026-01-01 Yalin E. Sagduyu , Tugba Erpek , Aylin Yener , Sennur Ulukus