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Background: Small interfering RNA (siRNA) is a promising therapeutic agent due to its ability to silence disease-related genes via RNA interference. While traditional machine learning and early deep learning methods have made progress in…

Biomolecules · Quantitative Biology 2025-03-07 Wangdan Liao , Weidong Wang

Both short interfering RNAs (siRNAs) and microRNAs (miRNAs) mediate the repression of specific sequences of mRNA through the RNA interference pathway. In the last years several experiments have supported the hypothesis that siRNAs and…

Biomolecules · Quantitative Biology 2007-05-23 Ludovica Montanucci , Piero Fariselli , Pier Luigi Martelli , Ivan Rossi , Rita Casadio

Saliency maps are increasingly used as design guidance in siRNA efficacy prediction, yet attribution methods are rarely validated before motivating sequence edits. We introduce a pre-synthesis gate: a protocol for counterfactual sensitivity…

Genomics · Quantitative Biology 2026-03-09 Zahra Khodagholi , Niloofar Yousefi

According to the `ceRNA hypothesis', microRNAs (miRNAs) may act as mediators of an effective positive interaction between long coding or non-coding RNA molecules, carrying significant potential implications for a variety of biological…

Molecular Networks · Quantitative Biology 2016-01-28 Araks Martirosyan , Matteo Figliuzzi , Enzo Marinari , Andrea De Martino

MicroRNAs (miRNAs) are small non-coding RNAs that control gene expression at the post-transcriptional level through complementary base pairing with the target mRNA, leading to mRNA degradation and blocking translation process. Any…

Genomics · Quantitative Biology 2020-05-01 Muniba Faiza , Khushnuma Tanveer , Saman Fatihi , Yonghua Wang , Khalid Raza

The pharmaceutical Research and development (R&D) process is lengthy and costly, taking nearly a decade to bring a new drug to the market. However, advancements in biotechnology, computational methods, and machine learning algorithms have…

Biomolecules · Quantitative Biology 2024-01-24 Damilola Oshunyinka

MicroRNAs (miRNAs) are short sequences of ribonucleic acids that control the expression of target messenger RNAs (mRNAs) by binding them. Robust prediction of miRNA-mRNA pairs is of utmost importance in deciphering gene regulations but has…

Machine Learning · Computer Science 2016-09-27 Byunghan Lee , Junghwan Baek , Seunghyun Park , Sungroh Yoon

Small regulatory RNAs (sRNAs) are short non-coding RNAs in bacteria capable of post-transcriptional regulation. sRNAs have recently gained attention as tools in basic and applied sciences for example to fine-tune genetic circuits or…

Quantitative Methods · Quantitative Biology 2024-04-18 Michel Brueck , Bork A. Berghoff , Daniel Schindler

MicroRNAs (miRNAs) play crucial roles in multifarious biological processes associated with human diseases. Identifying potential miRNA-disease associations contributes to understanding the molecular mechanisms of miRNA-related diseases.…

Machine Learning · Computer Science 2021-08-31 Feng Huang , Xiang Yue , Zhankun Xiong , Zhouxin Yu , Wen Zhang

MicroRNAs (miRNAs) are a class of small noncoding RNAs that can regulate many genes by base pairing to sites in mRNAs. The functionality of miRNAs overlaps that of short interfering RNAs (siRNAs), and many features of miRNA targeting have…

Genomics · Quantitative Biology 2021-07-08 Takaya Saito , Pål Sætrom

MicroRNA (miRNA) are small non-coding RNAs that regulates the gene expression at the post-transcriptional level. Determining whether a sequence segment is miRNA is experimentally challenging. Also, experimental results are sensitive to the…

Quantitative Methods · Quantitative Biology 2017-04-13 Jaya Thomas , Lee Sael

We build a simple model for feedback systems involving small RNA (sRNA) molecules based on the iron metabolism system in the bacterium E. coli, and compare it with the corresponding system in H. pylori which uses purely transcriptional…

Molecular Networks · Quantitative Biology 2009-11-13 Namiko Mitarai , Anna M. C. Andersson , Sandeep Krishna , Szabolcs Semsey , Kim Sneppen

Infrared small target detection based on deep learning offers unique advantages in separating small targets from complex and dynamic backgrounds. However, the features of infrared small targets gradually weaken as the depth of convolutional…

Computer Vision and Pattern Recognition · Computer Science 2024-01-18 Chun Bao , Jie Cao , Yaqian Ning , Tianhua Zhao , Zhijun Li , Zechen Wang , Li Zhang , Qun Hao

Sequential recommender systems (SRSs) aim to predict the subsequent items which may interest users via comprehensively modeling users' complex preference embedded in the sequence of user-item interactions. However, most of existing SRSs…

Information Retrieval · Computer Science 2024-10-31 Chengkai Huang , Shoujin Wang , Xianzhi Wang , Lina Yao

Functional or non-coding RNAs are attracting more attention as they are now potentially considered valuable resources in the development of new drugs intended to cure several human diseases. The identification of drugs targeting the…

Genomics · Quantitative Biology 2019-12-25 Muhammad Nabeel Asima , Muhammad Imran Malik , Andreas Dengela , Sheraz Ahmed

Solving the RNA inverse folding problem is a critical prerequisite to RNA design, an emerging field in bioengineering with a broad range of applications from reaction catalysis to cancer therapy. Although significant progress has been made…

Quantitative Methods · Quantitative Biology 2019-03-07 Jade Shi , Rhiju Das , Vijay S. Pande

MicroRNAs (miRNAs) are endogenous small non-coding RNAs that play an important role in post-transcriptional gene regulation. However, the experimental determination of miRNA sequence and structure is both expensive and time-consuming.…

Genomics · Quantitative Biology 2021-06-30 Shyaman Jayasundara , Sandali Lokuge , Puwasuru Ihalagedara , Damayanthi Herath

RNA/protein interactions play crucial roles in controlling gene expression. They are becoming important targets for pharmaceutical applications. Due to RNA flexibility and to the strength of electrostatic interactions, standard docking…

Biomolecules · Quantitative Biology 2013-07-23 Trang N. Do , Paolo Carloni , Gabriele Varani , Giovanni Bussi

Since microRNAs (miRNAs) play a crucial role in post-transcriptional gene regulation, miRNA identification is one of the most essential problems in computational biology. miRNAs are usually short in length ranging between 20 and 23 base…

Machine Learning · Computer Science 2016-05-04 Seunghyun Park , Seonwoo Min , Hyunsoo Choi , Sungroh Yoon

Bacteria reside in constantly changing environments and require rapid and precise adjustments of gene expression to ensure survival. Small regulatory RNAs (sRNAs) are a crucial element that bacteria utilize to achieve this. sRNAs are short…

Molecular Networks · Quantitative Biology 2024-11-26 Aviezer Silverman , Sahar Melamed
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