Farman Ali
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View article: Correction: A deep learning model for epidermal growth factor receptor prediction using ensemble residual convolutional neural network
Correction: A deep learning model for epidermal growth factor receptor prediction using ensemble residual convolutional neural network Open
View article: Bio-Active Peptides from Marine Sources: Mechanistic Insights into Immune Regulation, Microbiota Modulation, and Intestinal Barrier Protection
Bio-Active Peptides from Marine Sources: Mechanistic Insights into Immune Regulation, Microbiota Modulation, and Intestinal Barrier Protection Open
Natural bioactive chemicals sourced from marine species have attracted growing interest due to their immunomodulatory, antioxidant, and gut microbiota-regulating characteristics. These chemicals, especially peptides, offer therapeutic appr…
View article: A deep learning model for epidermal growth factor receptor prediction using ensemble residual convolutional neural network
A deep learning model for epidermal growth factor receptor prediction using ensemble residual convolutional neural network Open
Epidermal growth factor receptor (EGFR) overexpression is a key oncogenic driver in breast cancer, making it an important therapeutic target. Conventional approaches for EGFR identification, including motif- and homology-based methods, oft…
View article: Deep-CABPred: Deep learning model for predicting functional chlorophyll a-b binding proteins in trait-based plant ecology using hybrid embedding with semi-normalized temporal convolutional networks
Deep-CABPred: Deep learning model for predicting functional chlorophyll a-b binding proteins in trait-based plant ecology using hybrid embedding with semi-normalized temporal convolutional networks Open
Chlorophyll a-b binding proteins (CABs) are crucial for photosynthesis, directly influencing plant efficiency and environmental adaptation. Identifying these proteins is vital for understanding ecological function and productivity, but tra…
View article: Action unit based micro-expression recognition framework for driver emotional state detection
Action unit based micro-expression recognition framework for driver emotional state detection Open
View article: Frequency of Esophageal Varices in Patients with Cirrhosis
Frequency of Esophageal Varices in Patients with Cirrhosis Open
Background: Esophageal varices are a frequent and potentially life-threatening complication in patients with liver cirrhosis. Timely identification is crucial to preventing variceal bleeding and reducing morbidity. While risk stratificatio…
View article: Quantum neural networks for multimodal sentiment, emotion, and sarcasm analysis
Quantum neural networks for multimodal sentiment, emotion, and sarcasm analysis Open
Sentiment, emotion, and sarcasm analysis in multimodal dialogues is crucial for understanding the underlying intentions and attitudes expressed by individuals. Traditional methods often struggle to capture the full intensity of these polar…
View article: Survey: application and analysis of generative adversarial networks in medical images
Survey: application and analysis of generative adversarial networks in medical images Open
View article: Societal Perceptions Towards Persons with Disabilities: A Historical Perspective
Societal Perceptions Towards Persons with Disabilities: A Historical Perspective Open
This study critically analyzes disability and communal attitudes towards it across different societies throughout history. Existing literature has been extensively reviewed to understand disability in a historical context. The study demons…
View article: Multi-headed ensemble residual CNN: A powerful tool for fibroblast growth factor prediction
Multi-headed ensemble residual CNN: A powerful tool for fibroblast growth factor prediction Open
Fibroblast Growth Factor (FGF) performs a significant role in the repair, nervous system, development, and maintenance, making it a promising target for treating neurological diseases such as Parkinson's, stroke, Alzheimer's, and Huntingto…
View article: Deep‐GB: A novel deep learning model for globular protein prediction using CNN‐BiLSTM architecture and enhanced PSSM with trisection strategy
Deep‐GB: A novel deep learning model for globular protein prediction using CNN‐BiLSTM architecture and enhanced PSSM with trisection strategy Open
Globular proteins (GPs) play vital roles in a wide range of biological processes, encompassing enzymatic catalysis and immune responses. Enzymes, among these globular proteins, facilitate biochemical reactions, while others, such as haemog…
View article: Homophily & YouTube Content Creators
Homophily & YouTube Content Creators Open
Content creator’s popularity is dependent on the number of followers, through this study it is attempted to understand if it is the nature of content or homophily that increases the fan base of followers of YouTube vloggers in Pakistan. A …
View article: Pneumonia detection: A comprehensive study of diverse neural network architectures using chest X-rays
Pneumonia detection: A comprehensive study of diverse neural network architectures using chest X-rays Open
Pneumonia is of deep concern in healthcare worldwide, being the most deadly infectious disease, especially among children. Chest radiographs are crucial for detecting it. However, certain vulnerable groups exhibit heightened susceptibility…
View article: Examining the Impact of Social Media Advertisements in Promoting Fashion Sense among University Students
Examining the Impact of Social Media Advertisements in Promoting Fashion Sense among University Students Open
The study examines the impact of social media advertisements, specifically fashion ads on Facebook and Instagram, in promoting fashion sense among university students. The research uses a quantitative approach, using a survey method and a …
View article: A deep transfer learning approach for COVID-19 detection and exploring a sense of belonging with Diabetes
A deep transfer learning approach for COVID-19 detection and exploring a sense of belonging with Diabetes Open
COVID-19 is an epidemic disease that results in death and significantly affects the older adult and those afflicted with chronic medical conditions. Diabetes medication and high blood glucose levels are significant predictors of COVID-19-r…
View article: Recent Advances in Machine Learning-Based Models for Prediction of Antiviral Peptides
Recent Advances in Machine Learning-Based Models for Prediction of Antiviral Peptides Open
View article: DeepImmuno-PSSM: Identification of Immunoglobulin based on Deep learning and PSSM-Profiles
DeepImmuno-PSSM: Identification of Immunoglobulin based on Deep learning and PSSM-Profiles Open
Immunoglobulin has a close connection to a number of disorders and is important in both biological and medicinal contexts. Therefore, it is crucial for illness research to employ efficient techniques to increase the categorization accuracy…
View article: Prediction of Amyloid Proteins Using Embedded Evolutionary & Ensemble Feature Selection Based Descriptors With eXtreme Gradient Boosting Model
Prediction of Amyloid Proteins Using Embedded Evolutionary & Ensemble Feature Selection Based Descriptors With eXtreme Gradient Boosting Model Open
Amyloid proteins (AMYs) are usually an aggregate of insoluble fibrous that have major pathogenic effects on various tissues. However, its abnormal deposition may lead to several diseases i.e., Parkinson’s, Alzheimer’s, and type 2 diabetes.…
View article: Identifying Neuropeptides via Evolutionary and Sequential Based Multi-Perspective Descriptors by Incorporation With Ensemble Classification Strategy
Identifying Neuropeptides via Evolutionary and Sequential Based Multi-Perspective Descriptors by Incorporation With Ensemble Classification Strategy Open
Neuropeptides (NPs) are a kind of neuromodulator/ neurotransmitter that works as signaling molecules in the central nervous system, and perform major roles in physiological and hormone regulation activities. Recently, machine learning-base…
View article: Prediction of antifreeze proteins using machine learning
Prediction of antifreeze proteins using machine learning Open
View article: DBP-iDWT: Improving DNA-Binding Proteins Prediction Using Multi-Perspective Evolutionary Profile and Discrete Wavelet Transform
DBP-iDWT: Improving DNA-Binding Proteins Prediction Using Multi-Perspective Evolutionary Profile and Discrete Wavelet Transform Open
DNA-binding proteins (DBPs) have crucial biotic activities including DNA replication, recombination, and transcription. DBPs are highly concerned with chronic diseases and are used in the manufacturing of antibiotics and steroids. A series…
View article: AI and Machine Learning-based practices in various domains: A Survey
AI and Machine Learning-based practices in various domains: A Survey Open
In several projects in computational biology (CB), bioinformatics, health informatics(HI), precision medicine(PM) and precision agriculture(PA) machine learning(ML) has become a primary resource. In this paper we studied the use of machine…
View article: XGB-DrugPred: computational prediction of druggable proteins using eXtreme gradient boosting and optimized features set
XGB-DrugPred: computational prediction of druggable proteins using eXtreme gradient boosting and optimized features set Open
Accurate identification of drug-targets in human body has great significance for designing novel drugs. Compared with traditional experimental methods, prediction of drug-targets via machine learning algorithms has enhanced the attention o…
View article: The DnaJ-like Zinc Finger Protein ORANGE Promotes Proline Biosynthesis in Drought-Stressed Arabidopsis Seedlings
The DnaJ-like Zinc Finger Protein ORANGE Promotes Proline Biosynthesis in Drought-Stressed Arabidopsis Seedlings Open
Orange (OR) is a DnaJ-like zinc finger protein with both nuclear and plastidial localizations. OR, and its orthologs, are highly conserved in flowering plants, sharing a characteristic C-terminal tandem 4× repeats of the CxxCxxxG signature…
View article: Accurate prediction of immunoglobulin proteins using machine learning model
Accurate prediction of immunoglobulin proteins using machine learning model Open
View article: In silico analysis of AhyI protein and AI-1 inhibition using N-cis-octadec-9z-enoyl-l-homoserine lactone inhibitor in Aeromonas hydrophila
In silico analysis of AhyI protein and AI-1 inhibition using N-cis-octadec-9z-enoyl-l-homoserine lactone inhibitor in Aeromonas hydrophila Open
View article: SINGLE CENTER EXPERIENCE IN MANAGEMENT OF ACUTE MESENTERIC ISCHEMIA AND THE IMMEDIATE OUTCOME FOLLOWING SURGICAL SALVAGE
SINGLE CENTER EXPERIENCE IN MANAGEMENT OF ACUTE MESENTERIC ISCHEMIA AND THE IMMEDIATE OUTCOME FOLLOWING SURGICAL SALVAGE Open
Acute Mesenteric Ischemia is a rare condition with an incidence of 5/100,000. Occlusive subtype has the better outcome if early presentation and urgent surgical intervention is made.
The study was conducted at Lahore General Hospital, Lah…
View article: Differential microbial assemblages associated with shikonin-producing Borage species in two distinct soil types
Differential microbial assemblages associated with shikonin-producing Borage species in two distinct soil types Open
View article: Anal cancer survival: a socioeconomic analysis
Anal cancer survival: a socioeconomic analysis Open
Introduction Squamous cell carcinoma is the most common variant of anal malignancy. Certain disease-related factors have been established in determining survival. These include tumour size, differentiation and nodal involvement. Other fact…
View article: COMPARISON BETWEEN POSTOPERATIVE DRAIN OUTPUT AFTER THYROIDECTOMY WITH AND WITHOUT USE OF HARMONIC SCALPEL DEVICE
COMPARISON BETWEEN POSTOPERATIVE DRAIN OUTPUT AFTER THYROIDECTOMY WITH AND WITHOUT USE OF HARMONIC SCALPEL DEVICE Open
Introduction: Thyroid gland is one of the most important endocrine organs in human body performing multiple functions to maintain homeostasis. Thyroid nodular disease is a frequently encountering problem in surgical OPD that could be malig…