N. Ansgar Mary^1,*, T. Latha²

Computer Systems Science and Engineering, Vol.42, No.3, pp. 1199-1213, 2022, DOI:10.32604/csse.2022.022404

Abstract Data security is a major cloud computing issue due to different user transactions in the system. The evolution of cryptography and cryptographic analysis are regarded domains of current research. deoxyribo nucleic acid (DNA) cryptography makes use of DNA as a sensing platform, which is then manipulated using a variety of molecular methods. Many security mechanisms including knowledge-based authentication, two-factor authentication, adaptive authentication, multifactor authentication and single password authentication have been deployed. These cryptographic techniques have been developed to ensure confidentiality, but most of them are based on complex mathematical calculations and equations. In the proposed approach, a novel and unique… More >

Ala Saleh Alluhaidan^*

CMC-Computers, Materials & Continua, Vol.71, No.3, pp. 5949-5962, 2022, DOI:10.32604/cmc.2022.022028

Abstract Analysis of brain disorder in the neuroimaging of Magnetic Resonance Imaging (MRI), Positron Emission Tomography (PET), and Computed Tomography (CT) needs to understand the functionalities of the brain and it has been performed using traditional methods. Deep learning algorithms have also been applied in genomics data processing. The brain disorder diseases of Alzheimer, Schizophrenia, and Parkinson are analyzed in this work. The main issue in the traditional algorithm is the improper detection of disorders in the neuroimaging data. This paper presents a deep learning algorithm for the classification of brain disorder using Deep Belief Network (DBN) and securely storing the… More >

Naglaa. F. Soliman^1,*, Samia M. Abd Alhalem², Walid El-Shafai², Salah Eldin S. E. Abdulrahman³, N. Ismaiel³, El-Sayed M. El-Rabaie², Abeer D. Algarni¹, Fatimah Algarni⁴, Fathi E. Abd El-Samie^1,2

Intelligent Automation & Soft Computing, Vol.33, No.1, pp. 103-116, 2022, DOI:10.32604/iasc.2022.017691

Abstract Identifying and classifying Deoxyribonucleic Acid (DNA) sequences and their functions have been considered as the main challenges in bioinformatics. Advances in machine learning and Deep Learning (DL) techniques are expected to improve DNA sequence classification. Since the DNA sequence classification depends on analyzing textual data, Bidirectional Long Short-Term Memory (BLSTM) algorithms are suitable for tackling this task. Generally, classifiers depend on the patterns to be processed and the pre-processing method. This paper is concerned with a new proposed classification framework based on Frequency Chaos Game Representation (FCGR) followed by Discrete Wavelet Transform (DWT) and BLSTM. Firstly, DNA strings are transformed… More >

Naglaa. F. Soliman^1,*, Samia M. Abd-Alhalem², Walid El-Shafai², Salah Eldin S. E. Abdulrahman³, N. Ismaiel³, El-Sayed M. El-Rabaie², Abeer D. Algarni¹, Fatimah Algarni⁴, Amel A. Alhussan⁵, Fathi E. Abd El-Samie^1,2

Intelligent Automation & Soft Computing, Vol.32, No.3, pp. 1881-1891, 2022, DOI:10.32604/iasc.2022.017683

Abstract Recently, deep learning has opened a remarkable research direction in the track of bioinformatics, especially for the applications that need classification and regression. With deep learning techniques, DNA sequences can be classified with high accuracy. Firstly, a DNA sequence should be represented, numerically. After that, DNA features are extracted from the numerical representations based on deep learning techniques to improve the classification process. Recently, several architectures have been developed based on deep learning for DNA sequence classification. Convolutional Neural Network (CNN) and Recurrent Neural Network (RNN) are the default deep learning architectures used for this task. This paper presents a… More >

JIUCHUN GUO¹, JIE PAN^2,*, QIANQIAN GUO²

BIOCELL, Vol.46, No.2, pp. 505-510, 2022, DOI:10.32604/biocell.2021.015785

Abstract The excessive energy of light, especially the invisible rays with lower wavelength, is basically absorbed by retinal pigment epithelium (RPE) and usually causes DNA damage. The molecular mechanism behind DNA damage repair response to this frequent stress in RPE is not clearly understood. In this study, we determined that the Fanconi anemia (FA) pathway was activated in human RPE ARPE-19 cells after ultraviolet (UV) B and C treatment. Moreover, immunoprecipitation (IP) of FANCD2 indicated that denticleless E3 ubiquitin protein ligase homolog (DTL) closely interacted with FANCD2. Knockdown of DTL weakened the activity of the FA pathway in ARPE-19 cells responding… More >

Naglaa. F. Soliman^1,*, Samia M. Abd-Alhalem² , Walid El-Shafai² , Salah Eldin S. E. Abdulrahman³, N. Ismaiel³ , El-Sayed M. El-Rabaie² , Abeer D. Algarni¹, Fathi E. Abd El-Samie^1,2

CMC-Computers, Materials & Continua, Vol.70, No.3, pp. 5907-5927, 2022, DOI:10.32604/cmc.2022.018860

Abstract

Recently, deep learning (DL) became one of the essential tools in bioinformatics. A modified convolutional neural network (CNN) is employed in this paper for building an integrated model for deoxyribonucleic acid (DNA) classification. In any CNN model, convolutional layers are used to extract features followed by max-pooling layers to reduce the dimensionality of features. A novel method based on downsampling and CNNs is introduced for feature reduction. The downsampling is an improved form of the existing pooling layer to obtain better classification accuracy. The two-dimensional discrete transform (2D DT) and two-dimensional random projection (2D RP) methods are applied for downsampling.… More >

JIANBO LU^1,2,#,*, XIAOHAN SUN^3,#, XU MA^1,2,*

BIOCELL, Vol.46, No.1, pp. 185-193, 2022, DOI:10.32604/biocell.2021.015301

Abstract The concentration of cell-free fetal DNA fragments should be detected before noninvasive prenatal testing (NIPT). The fetal DNA molecules have significant clinical potential in determining the overall performance of NIPT and clinical interpretation. It is important to measure fetal DNA fraction before NIPT. However, there is still little research on how to calculate the concentration of female fetuses. Two estimation approaches were proposed to calculate fetal DNA fraction, including the fragments size-based approach, aneuploid-based approach, which are all approaches based on chromosome segments. Based on high-throughput sequencing data, two approaches to calculate the DNA fraction of male fetuses were tested… More >

Svetla P. Gateva^1,*, Gabriele Jovtchev¹, Tsveta V. Angelova¹, Tzvetana P. Nonova², Nikolay Tyutyundzhiev³, Elena G. Geleva², Kostadin Katrandzhiev¹, Nina A. Nikolova², Dimitar Dimitrov⁴, Christo V. Angelov²

Phyton-International Journal of Experimental Botany, Vol.91, No.2, pp. 293-313, 2022, DOI:10.32604/phyton.2022.016397

Abstract Plants in natural ecosystems are exposed to a combination of UV radiation, ionizing radiation (IR) and other abiotic factors. These factors change with the altitude. We investigated DNA alterations of some wild plants of different plant families in natural ecosystems at three altitudes in Rila Mountain, Bulgaria (1500, 1782, and 2925 m above sea level (a.s.l.) exposed to UV radiation, IR and other abiotic stresses, to assess the tolerance of plant species to the changing environmental conditions in three successive growth seasons. For this purpose, physicochemical, cytogenetic, and molecular methods were applied. DNA damage was assessed by micronucleus test and molecular… More >

Ahmed S. Sakr¹, M. Y. Shams², Amena Mahmoud³, Mohammed Zidan^4,*

CMC-Computers, Materials & Continua, Vol.70, No.1, pp. 123-134, 2022, DOI:10.32604/cmc.2022.019455

Abstract In this new information era, the transfer of data and information has become a very important matter. Transferred data must be kept secured from unauthorized persons using cryptography. The science of cryptography depends not only on complex mathematical models but also on encryption keys. Amino acid encryption is a promising model for data security. In this paper, we propose an amino acid encryption model with two encryption keys. The first key is generated randomly using the genetic algorithm. The second key is called the protein key which is generated from converting DNA to a protein message. Then, the protein message… More >

Noha E. El-Attar^1,*, Bossy M. Moustafa², Wael A. Awad³

Intelligent Automation & Soft Computing, Vol.31, No.1, pp. 325-338, 2022, DOI:10.32604/iasc.2022.019970

Abstract DNA sequence classification is considered a significant challenge for biological researchers to scientifically analyze the enormous volumes of biological data and discover different biological features. In genomic research, classifying DNA sequences may help learn and discover the new functions of a protein. Insulin is an example of a protein that the human body produces to regulate glucose levels. Any mutations in the insulin gene sequence would result in diabetes mellitus. Diabetes is one of the widely spread chronic diseases, leading to severe effects in the longer term if diagnosis and treatment are not appropriately taken. In this research, the authors… More >