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The COVID-19 pandemic has emerged as a global health crisis, impacting millions worldwide. Although chest computed tomography (CT) scan images are pivotal in diagnosing COVID-19, their manual interpretation by radiologists is time-consuming and ...

• We refined a multi-national CT scan dataset and proposed XCT-COVID, an automated diagnosis framework using transfer learning.
• XCT-COVID showed excellent generalizability and clinical applicability on the independent and external ...

A wide variety of chemicals cannot be introduced to the marketplace because of their high allergenicity. Therefore, it is fundamentally crucial to assess the allergenic potential of chemicals before introducing them into clinical therapeutics. ...

• M3S is a novel multi-step stacking strategy for addressing the data imbalance problem.
• M3S-ALG is a high-accuracy model for identifying allergenic chemical compounds.
• The proposed M3S-ALG outperforms the existing methods on the ...

Peptide hormones were first used in medicine in the early 20th century, with the pivotal event being the isolation and purification of insulin in 1921. These hormones are integral to a sophisticated system that emerged early in evolution to ...

• mHPpred, an advanced ML framework using multi-view learning to predict peptide hormones.
• Systematically evaluated a wide range of feature descriptors and ML classifiers.
• Selected 20 top models, combining their scores to train a ...

O-linked glycosylation is a complex post-translational modification (PTM) in human proteins that plays a critical role in regulating various cellular metabolic and signaling pathways. In contrast to N-linked glycosylation, O-linked glycosylation ...

• HOTGpred is the first tool to utilize PLM-based embeddings and a multi-stage feature selection process to identify OTGs.
• Twenty-five feature sets and nine classifiers were evaluated to identify the most discriminative features for OTG ...

Conventional COVID-19 testing methods have some flaws: they are expensive and time-consuming. Chest X-ray (CXR) diagnostic approaches can alleviate these flaws to some extent. However, there is no accurate and practical automatic diagnostic ...

• CodeNet, a new deep learning method, addresses limitations of traditional testing by using chest X-rays (CXRs) for faster and cheaper diagnosis.
• CodeNet achieves a remarkable 94.20% accuracy on the evaluation dataset, surpassing five ...

Dihydrouridine (DHU, D) is one of the most abundant post-transcriptional uridine modifications found in tRNA, mRNA, and snoRNA, closely associated with disease pathogenesis and various biological processes in eukaryotes. Identifying D sites is ...

• Stack-DHUpred is a computational predictor of RNA dihydrouridine modification sites.
• Stack-DHUpred combines 6 machine learning methods with 11 RNA encoding methods.
• Stack-DHUpred stacks 66 baseline models for highly enhanced ...

Amyotrophic lateral sclerosis (ALS) is a serious neurodegenerative disorder affecting nerve cells in the brain and spinal cord that is caused by mutations in the superoxide dismutase 1 (SOD1) enzyme. ALS-related mutations cause ...

• Elucidation of SOD1 local and global structural changes via μs MD simulations.
• Structural disparity in disulfide bond and R143 configuration were unraveled.
• Bridge residues were crucial in intercommunity coupling in Holo system.

Speech emotion recognition (SER) is a crucial aspect of affective computing and human-computer interaction, yet effectively identifying emotions in different speakers and languages remains challenging. This paper introduces SER-Fuse, a multi-modal SER ...

Recently, speech emotion recognition (SER) has become an active research area in speech processing, particularly with the advent of deep learning (DL). Numerous DL-based methods have been proposed for SER. However, most of the existing DL-based ...

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• Create a new hybrid data augmentation method to generate speech signals.
• Propose mADCRNN with attention-based dilated CNNs and dilated LSTMs.
• Evaluate model parameters and data augmentation methods for SER.
• Achieve good ...

Diabetes mellitus has become a major public health concern associated with high mortality and reduced life expectancy and can cause blindness, heart attacks, kidney failure, lower limb amputations, and strokes. A new generation of antidiabetic ...

• ADP-Fuse represents the first intelligent computational model for identifying ADPs/non-ADPs and their types.
• ADP-Fuse navigates a broad spectrum of features and classifiers to identify the best-fitting single-feature models.
• The ...

The Src Homology 2 (SH2) domain plays an important role in the signal transmission mechanism in organisms. It mediates the protein-protein interactions based on the combination between phosphotyrosine and motifs in SH2 domain. In this study, we ...

Feature selection becomes inevitable owing to a rapid increase in digital technology which permits the generation of high dimensional data in a large quantity within a short time. Feature selection techniques not only improves classification ...

• Introducing an ensemble technique based on the rank aggregation procedure.
• Four operators are used for the purpose of aggregation.
• The entropy weight method is utilized to measure the degree of disorder.
• 10 real-world data sets ...

Drug-target interactions (DTI) prediction is a crucial task in drug discovery. Existing computational methods accelerate the drug discovery in this respect. However, most of them suffer from low feature representation ability, significantly ...

• In this work, we propose a novel neural network architecture which automatically learns discriminative sequential and topological information from target molecules and the underlying relationship between residues from proteins.
• Our ...

Quorum sensing peptides (QSPs) are microbial signaling molecules involved in several cellular processes, such as cellular communication, virulence expression, bioluminescence, and swarming, in various bacterial species. Understanding QSPs is ...

• We present PSRQSP for improving the prediction and analysis of QSPs.
• In PSRQSP, we introduce a general-purpose propensity score representation learning.
• PSRQSP outperforms several state-of-the-art methods on the independent test ...

The monkeypox virus poses a new pandemic threat while we are still recovering from COVID-19. Despite the fact that monkeypox is not as lethal and contagious as COVID-19, new patient cases are recorded every day. If preparations are not made, a ...

• A first-ever multiclass image-based database has been developed named “Monkeypox Skin Images Dataset” for the detection and classification of monkeypox disease.
• A new modified DenseNet-201 based deep CNN model named “MonkeyNet” has ...

Protein folding is a complex physicochemical process whereby a polymer of amino acids samples numerous conformations in its unfolded state before settling on an essentially unique native three-dimensional (3D) structure. To understand this ...

More than 150 genes are involved in amyotrophic lateral sclerosis (ALS), with superoxide dismutase 1 (SOD1) being one of the most studied. Mutations in SOD1 gene, which encodes the enzyme SOD1 is the second most prevalent and studied ...

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• Strong inter- and intra-correlated motions and weaker anti-correlated motions in SOD1 WT increase the dimer formation.

Protein folding rate is an important property that is essential for understanding the protein folding process and is helpful for designing proteins. Predicting such properties from either sequence or structural information is a ...

Tumor homing peptides (THPs) play a crucial role in recognizing and specifically binding to cancer cells. Although experimental approaches can facilitate the precise identification of THPs, they are usually time-consuming, labor-...

• Tumor homing peptides play a crucial role in recognizing and specifically binding to cancer cells.

Thermophilic proteins (TPPs) are important in the field of protein biochemistry and development of new enzymes. Thus, computational methods must be urgently developed to accurately and rapidly identify TPPs. To date, several ...

• A novel stacked ensemble learning approach (SAPPHIRE) is proposed.
• SAPPHIRE is ...