Amjed Al Fahoum^*, Ala’a Zyout, Hiam Alquran, Isam Abu-Qasmieh

CMC-Computers, Materials & Continua, Vol.76, No.1, pp. 1173-1193, 2023, DOI:10.32604/cmc.2023.038304

Abstract Complex proteins are needed for many biological activities. Folding amino acid chains reveals their properties and functions. They support healthy tissue structure, physiology, and homeostasis. Precision medicine and treatments require quantitative protein identification and function. Despite technical advances and protein sequence data exploration, bioinformatics’ “basic structure” problem—the automatic deduction of a protein’s properties from its amino acid sequence—remains unsolved. Protein function inference from amino acid sequences is the main biological data challenge. This study analyzes whether raw sequencing can characterize biological facts. A massive corpus of protein sequences and the Globin-like superfamily’s related protein families generate a solid vector representation.… More >

CHUYAO WANG^1,2,#, CHUAN LU^2,#, LUXIANG ZOU^2,*, DONGMEI HE^2,*

BIOCELL, Vol.47, No.6, pp. 1293-1306, 2023, DOI:10.32604/biocell.2023.028199

Abstract Background: Temporomandibular joint osteoarthritis (TMJOA) is an end-stage disease that seriously affects the patients’ quality of life. Molecular insights in advancing our understanding of TMJOA are the need of the hour. Methods: We performed RNA high-throughput sequencing and bioinformatics analysis of differentially expressed (DE) long non-coding RNA (lncRNAs), microRNAs (miRNAs), and messenger RNA (mRNAs) in human synovial TMJOA tissues. Firstly, synovium samples of TMJOA patients and non-TMJOA controls were collected for highthroughput sequencing of lncRNAs, miRNAs, and mRNAs. We then performed biological function analysis of the top 100 mRNAs with more than 2-fold differential expression, and their upstream regulated miRNAs… More >

YANG CAO^1,#, YINING LIU^1,#, YANG YU¹, XIAOFEI GUO¹, XIUXIU WANG¹, WENYA MA¹, HANJING LI², ZHONGYU REN², XINLU GAO², SIJIA LI², HAOYU JI², HONGYANG CHEN², HONG YAN², YANAN TIAN², XIN WANG², BENZHI CAI^1,2,*

BIOCELL, Vol.47, No.6, pp. 1407-1416, 2023, DOI:10.32604/biocell.2023.029080

Abstract Background: Cardiomyocytes derived from human embryonic stem cells (hESCs) are regulated by complex and stringent gene networks during differentiation. Long non-coding RNAs (lncRNAs) exert critical epigenetic regulatory functions in multiple differentiation processes. However, the involvement of lncRNAs in the differentiation of hESCs into cardiomyocytes has not yet been fully elucidated. Here, we identified the key roles of ZFAS1 (lncRNA zinc finger antisense 1) in the differentiation of cardiomyocytes from hESCs. Methods: A model of cardiomyocyte differentiation from stem cells was established using the monolayer differentiation method, and the number of beating hESCs-derived cardiomyocytes was calculated. Gene expression was analyzed by… More >

Ziwei Tang¹, Yaohua Yi^2,*, Changhui Yu², Aiguo Yin³

CMC-Computers, Materials & Continua, Vol.75, No.3, pp. 6007-6022, 2023, DOI:10.32604/cmc.2023.037861

Abstract Existing image captioning models usually build the relation between visual information and words to generate captions, which lack spatial information and object classes. To address the issue, we propose a novel Position-Class Awareness Transformer (PCAT) network which can serve as a bridge between the visual features and captions by embedding spatial information and awareness of object classes. In our proposal, we construct our PCAT network by proposing a novel Grid Mapping Position Encoding (GMPE) method and refining the encoder-decoder framework. First, GMPE includes mapping the regions of objects to grids, calculating the relative distance among objects and quantization. Meanwhile, we… More >

S. Vijayashaarathi^1,*, S. NithyaKalyani²

Computer Systems Science and Engineering, Vol.46, No.3, pp. 2881-2897, 2023, DOI:10.32604/csse.2023.036864

Abstract In recent years, real-time video streaming has grown in popularity. The growing popularity of the Internet of Things (IoT) and other wireless heterogeneous networks mandates that network resources be carefully apportioned among versatile users in order to achieve the best Quality of Experience (QoE) and performance objectives. Most researchers focused on Forward Error Correction (FEC) techniques when attempting to strike a balance between QoE and performance. However, as network capacity increases, the performance degrades, impacting the live visual experience. Recently, Deep Learning (DL) algorithms have been successfully integrated with FEC to stream videos across multiple heterogeneous networks. But these algorithms… More >

Isam Abu-Qasmieh, Amjed Al Fahoum^*, Hiam Alquran, Ala’a Zyout

CMC-Computers, Materials & Continua, Vol.75, No.2, pp. 3971-3991, 2023, DOI:10.32604/cmc.2023.037431

Abstract Proteins are essential for many biological functions. For example, folding amino acid chains reveals their functionalities by maintaining tissue structure, physiology, and homeostasis. Note that quantifiable protein characteristics are vital for improving therapies and precision medicine. The automatic inference of a protein’s properties from its amino acid sequence is called “basic structure”. Nevertheless, it remains a critical unsolved challenge in bioinformatics, although with recent technological advances and the investigation of protein sequence data. Inferring protein function from amino acid sequences is crucial in biology. This study considers using raw sequencing to explain biological facts using a large corpus of protein… More >

Ghofran Kh. Shraida¹, Hameed A. Younis¹, Taief Alaa Al-Amiedy², Mohammed Anbar^2,*, Hussain A. Younis^3,4, Iznan H. Hasbullah²

CMC-Computers, Materials & Continua, Vol.75, No.2, pp. 2641-2654, 2023, DOI:10.32604/cmc.2023.035793

Abstract Nowadays, high-resolution images pose several challenges in the context of image encryption. The encryption of huge images’ file sizes requires high computational resources. Traditional encryption techniques like, Data Encryption Standard (DES), and Advanced Encryption Standard (AES) are not only inefficient, but also less secure. Due to characteristics of chaos theory, such as periodicity, sensitivity to initial conditions and control parameters, and unpredictability. Hence, the characteristics of deoxyribonucleic acid (DNA), such as vast parallelism and large storage capacity, make it a promising field. This paper presents an efficient color image encryption method utilizing DNA encoding with two types of hyper-chaotic maps.… More >

Ali Arshad^1,*, Muhammad Nadeem², Saman Riaz¹, Syeda Wajiha Zahra², Ashit Kumar Dutta³, Zaid Alzaid⁴, Rana Alabdan⁵, Badr Almutairi⁶, Sultan Almotairi^4,7

CMC-Computers, Materials & Continua, Vol.75, No.2, pp. 3065-3089, 2023, DOI:10.32604/cmc.2023.035695

Abstract There are many cloud data security techniques and algorithms available that can be used to detect attacks on cloud data, but these techniques and algorithms cannot be used to protect data from an attacker. Cloud cryptography is the best way to transmit data in a secure and reliable format. Various researchers have developed various mechanisms to transfer data securely, which can convert data from readable to unreadable, but these algorithms are not sufficient to provide complete data security. Each algorithm has some data security issues. If some effective data protection techniques are used, the attacker will not be able to… More >

LAKSHANA SADU^#, R.HARI KRISHNAN^#, R.L. AKSHAYA, I. SARANYA, UDIPT RANJAN DAS, SNEHA SATISHKUMAR, N. SELVAMURUGAN^*

BIOCELL, Vol.47, No.4, pp. 751-760, 2023, DOI:10.32604/biocell.2023.026911

Abstract MicroRNAs (miRNAs) are small non-coding RNAs (ncRNAs) that regulate the expression of their target mRNAs post-transcriptionally. Since their discovery, thousands of highly conserved miRNAs have been identified and investigated for their role in human health and diseases. MiR-214 has been increasingly reported to have an association with the regulation of bone metabolism. Reports suggested that miR-214 controls the critical aspects of osteoblasts (bone-forming cells), including their differentiation, proliferation, viability, and migration. Studies have also reported the functional significance of miR-214 in bone diseases and suggested its candidature as a diagnostic and therapeutic target. Further, targeting miR-214 by other ncRNAs, such… More >

WEI SHI^1,2,3,#, JIANXIA LIN^1,2,3,#, RONG JIN^1,2,3, XIANJING XIE^1,2,3, YAN LIANG^1,2,3,*

BIOCELL, Vol.47, No.4, pp. 869-877, 2023, DOI:10.32604/biocell.2023.026037

Abstract Background: LncRNA DLX6-AS1 has been uncovered to exert effects on various cancers. Nevertheless, the impacts of DLX6-AS1 on endometrial cancer (EC) development remained obscure. The study explored the influence of DLX6-AS1 on EC progression via the microRNA (miR)-374a-3p/zinc-finger protein (ZFX) axis.Methods: EC cell lines were collected and DLX6-AS1, miR-374a-3p, and ZFX levels in EC cell lines were detected. The EC cells were transfected with DLX6-AS1, miR-374a-3p, and ZFX constructs to examine the biological functions of EC cells. The xenograft model was established for detecting tumor growth. Rescue experiments were conducted to verify the interaction of DLX6-AS1, miR-374a-3p, and ZFX in… More > Graphic Abstract