Maqsood Hayat

Abdul Wali Khan University Mardan · Department of Computer Science

Antimicrobial peptides (AMPs) are gaining a lot of attention as cutting-edge treatments for many infectious disorders. The effectiveness of AMPs against bacteria, fungi, and viruses has persisted for a long period, making them the greatest option for addressing the growing problem of antibiotic resistance. Due to their wide-ranging actions, AMPs ha...

Viral diseases are a major health concern in the last few years. Antiviral peptides (AVPs) belong to a type of antimicrobial peptides (AMPs) that have the high potential to defend the human body from various viral diseases. Despite the large production of antiviral vaccination and drugs, viral infections are still a prominent human disease. The dis...

Cancer is a Toxic health concern worldwide, it happens when cellular modifications cause the irregular growth and division of human cells. Several traditional approaches such as therapies and wet laboratory-based methods have been applied to treat cancer cells. However, these methods are considered less effective due to their high cost and diverse...

Plasmodium falciparum causes malaria, which is an infectious and fatal disease. In early days, malaria-infected cells were diagnosed using a microscope. owing to a huge number of instances for analysis and intricacy of time, it may lead to false detection. Automated parasite detection technologies are in high demand due to increased time consumptio...

Fungal infections have become a serious health concern for human beings worldwide. Fungal infections usually occur when the invading fungus appear on a particular part of the body and become hard for the human immune system to resist. The existing antifungal treatments are considered inappropriate because of their severe side effects. With the rapi...

Please cite this article as: S. Akbar, A.U. Rahman, M. Hayat, M. Sohail, cACP: Classifying anticancer peptides using discriminative intelligent model via Chou's 5-step rules and general pseudo components, Chemometrics and Intelligent Laboratory Systems (2020), doi: https://doi. Abstract World widely, cancer is considered a fatal disease and remains...

In the healthcare system, machine learning performs a vital role because of its high capabilities in the identification and diagnosing of disease. Machine learning hypotheses have been effectively applied in numerous areas of healthcare especially in the diagnosis and prediction of chronic diseases such as Alzheimer's, heart, stroke, blood pressure...

Tuberculosis (TB) is a worldwide illness caused by the bacteria Mycobacterium tuberculosis. Owing to the high prevalence of multidrug-resistant tuberculosis, numerous traditional strategies for developing novel alternative therapies have been presented. The effectiveness and dependability of these procedures are not always consistent. Peptide-based...

DNA N⁴-methylcytosine (4mC) is an essential epigenetic modification and performs crucial roles in restriction-modification systems. The 4mC involves many essential cellular processes, namely: correcting DNA replication and controlling DNA replication errors in the prokaryotic organism. In order to understand their biological functional mechanisms,...

In eukaryotic cells, Piwi-interacting RNAs (piRNAs) are the type of short chain non-coding RNA molecules, which interconnect with PIWI proteins. It performs various cellular and genetic functions such as gene-specific protein translation, expression regulation, maintenance, and formulation of germ cells. Seeing the prominent contribution of piRNA i...

RNA-binding proteins (RBPs) have a central role in different biological processes like gene regulation, containing transcription and alternative splicing, and provide necessary useful information for patient care. Therefore, identifying binding sites of the RBPs on RNA is the main research direction to understand the procedure of several biological...

RNA modification occurs in both prokaryotic and eukaryotic genomes, which is considered one of the major RNAs properties. RNA modifications are the main portions of regulatory landscape found in genes, which contain several bioprocess in post-transcriptional level. Therefore, the identification of RNA modifications residue information is essential...

Antioxidant proteins have been discovered closely associated with disease control due to its capability to eradicate excess free radicals. The accurate identification of antioxidant proteins is on the upsurge owing to their therapeutic significance. However, observing the rapid increases of this toxic disease in the human body, several machine lear...

World widely, Fungal infections have become a serious issue for human beings. Fungal infections normally happen once invading fungus appear on a specific area of the body and become difficult for the human immune system to control. Current antifungal based therapies and drugs are deemed unsatisfactory due to their harmful side effects. Due to the r...

Heart disease is a fatal human disease, rapidly increases globally in both developed and undeveloped countries and consequently, causes death. Normally, in this disease, the heart fails to supply a sufficient amount of blood to other parts of the body in order to accomplish their normal functionalities. Early and on-time diagnosing of this problem...

The presented work is a student marks and grade prediction system using supervised machine learning techniques, the system is developed on the historic performance of students. The data used in this research is collected from Federal Board of Intermediate and Secondary Education Islamabad Pakistan, there are 7 regions in FBISE i.e. Punjab, Sindh, K...

N⁶-methyladenine is post-replication modifications, which take place in the extensive range of DNA sequences and involved with a large number of different bioprocesses such as DNA repair, replication, cellular defense, and transcription in prokaryotes. Recently, various computational models were established to predict N⁶-methyladenine sites within...

Background Bacteriophage or phage is a type of virus that replicates itself inside bacteria. It consist of genetic material surrounded by a protein structure. Bacteriophage plays a vital role in the domain of phage therapy and genetic engineering. Phage and hydrolases enzyme proteins have a significant impact on the cure of pathogenic bacterial inf...

Cancer is a leading killer disease globally, it occurs when the cellular changes cause the abnormal growth and division of the cells. Conventional treatment such as therapies and wet experimental methods are deemed unsatisfactory and worthless because of its huge cost and laborious nature. However, the recent innovation of anticancer peptides (ACPs...

Hormone binding proteins (HBPs) are soluble carrier proteins that can non-covalently and selectively interact with the human hormone. HBPs plays a significant role in human life, but its functions are still unclear. Conventional experimental approaches are deemed ineffective due to its high time processing time and cost. Due to the rapid increases...

N⁶-methyladenosine (m⁶A) is a well-studied and most common interior messenger RNA (mRNA) modification that plays an important function in cell development. N⁶A found in all kingdom of life and many other cellular processes such as RNA splicing, immune tolerance, regulatory functions, RNA processing, and cancer. Despite the crucial role of m⁶A in ce...

In DNA, a promoter is an essential part of genes that controls the transcription of specific genes in a particular tissue or cells. The combination of RNA polymerase and a number of various proteins named "σ-factors” can define the transcription start site (TSS) by inducing RNA holoenzyme. Further, Promoter is categorized into strong and weak promo...

Machine learning assisted sub-cellular protein localization has been an emerging research area from the last two decades since it provides fast, low cost and more precise tagging of different sub-cellular proteins. However, most of the research is focused on single-plex proteins which always resides on a particular location in all the cells at all...

Bacteriophage virion proteins (BVPs) are bacterial viruses that have a great impact on different biological functions of bacteria. They are significantly used in genetic engineering and phage therapy applications. Correct identification of BVP through conventional pathogen methods are slow and expensive. Thus, designing a Bioinformatics predictor i...

Nuclear receptor proteins (NRPs) perform a vital role in regulating gene expression. With the rapidity growth of NRPs in post-genomic era, it is highly recommendable to identify NRPs and their sub-families accurately from their primary sequences. Several conventional methods have been used for discrimination of NRPs and their sub-families, but did...

World widely, cancer is considered a fatal disease and remains the major cause of death. Conventional medication approaches using therapies and anticancer drugs are deemed ineffective due to its high cost and harmful impacts on the normal cells. However, the innovation of anticancer peptides (ACPs) provides an effective way how to deals with cancer...

Lectins are special types of protein that play a crucial role in tumor cell differentiation due to their significant binding affinity to certain types of saccharide (carbohydrate) groups. They are also closely related to certain types of proteins that initiate tumor cell survival, growth, metastasis, carcinoma, and different stages of tumor. Differ...

Antifreeze proteins (AFPs) perform distinguishable roles in maintaining homeostatic conditions of living organisms and protect their cell and body from freezing in extremely cold conditions. Owing to high diversity in protein sequences and structures, the discrimination of AFPs from non-AFPs through experimental approaches is expensive and lengthy....

Nucleosome is a central element of eukaryotic chromatin, which composes of histone proteins and DNA molecules. It performs vital roles in many eukaryotic intra-nuclear processes, for instance, chromatin structure and transcriptional regulation formation. Identification of nucleosome positioning via wet lab is difficult; so, the attention is diverte...

Automatic identification of protein subcellular localization has gained much popularity in the last few decades. Subcellular localizations are useful in diagnosis of different diseases as well as in the process of drug development. Golgi is a vital type of protein, which provides means of transportation to several other proteins destined for lysoso...

Emergence of numerous genome projects has made the experimental classification of the protein localization almost impossible due to exponential increase in the number of protein samples. However, most of the applications are merely developed for single-plex and completely ignored the presence of one protein at two or more locations in a cell. In th...

RNA 5-methylcytosine (m5C) sites perform a major role in numerous biological processes and commonly reported in both DNA and RNA cellular. The enzymatic mechanism and biological functions of m5C sites in DNA remain the focusing area of researchers for last few decades. Likewise, the investigators also targeted m5C sites in RNA due to its ce...

Background and objective: Discriminative and informative feature extraction is the core requirement for accurate and efficient classification of protein subcellular localization images so that drug development could be more effective. The objective of this paper is to propose a novel modification in the Threshold Adjacency Statistics technique and...

Membrane proteins execute significant roles in cellular processes of living organisms, ranging from cell signaling to cell adhesion. As a major part of a cell, the identification of membrane proteins and their functional types become a challenging job in the field of bioinformatics and proteomics from last few decades. Traditional experimental proc...

The original version of this article unfortunately contained a mistake. One character was missing in the title, which was therefore incorrectly given as “A Two-Layer Computational Model for Discrimination of Enhancer and Their Types Using Hybrid Features Pace of Pseudo K-Tuple Nucleotide Composition”.

Enhancers are the short regularity genome regions, which are bounded with proteins to activate the transcription of a specific gene. Enhancers are further categorized into two classes on the basis of its structure and strength, namely strong enhancers and weak enhancers. Owing to technological improvement, huge numbers of DNA sequences are explored...

Mycobacterium is a pathogenic bacterium, which is a causative agent of tuberculosis (TB) and leprosy. These diseases are very crucial and become the cause of death of millions of people every year in the world. So, the characterize structure of membrane proteins of the protozoan play a vital role in the field of drug discovery because, without any...

Background and Objectives Enhancers are pivotal DNA elements, which are widely used in eukaryotes for activation of transcription genes. On the basis of enhancer strength, they are further classified into two groups; strong enhancers and weak enhancers. Due to high availability of huge amount of DNA sequences, it is needed to develop fast, reliable...

Proteins are the central constitute of a cell or biological system. Proteins execute their functions by interacting with other molecules such as RNA, DNA and other proteins. The major functionality of protein-protein interactions (PPIs) is the execution of biochemical activities in living species. Therefore, an accurate identification of PPIs becom...

Golgi is one of the core proteins of a cell, constitutes in both plants and animals, which is involved in protein synthesis. Golgi is responsible for receiving and processing the macromolecules and trafficking of newly processed protein to its intended destination. Dysfunction in Golgi protein is expected to cause many neurodegenerative and inherit...

This study investigates an efficient and accurate computational method for predicating mycobacterial membrane protein. Mycobacterium is a pathogenic bacterium which is the causative agent of tuberculosis (TB) and leprosy. The existing feature encoding algorithms for protein sequence representation such as composition and translation, and split amin...

Face detection and recognition on the basis of local structure pattern has become an attention area of researchers from past few decades due to its persistent and reliable features. In this paper, we propose an intelligent and stable computational model for face detection. Local binary pattern (LBP) operator is used to collect local information fro...

The nucleosome is the fundamental unit of eukaryotic chromatin, which participates in regulating different cellular processes. Owing to the huge exploration of new DNA primary sequences, it is indispensable to develop an automated model. However, identification of novel protein sequences using conventional methods is difficult or sometimes impossib...

Mitochondrion is the key organelle of eukaryotic cell, which provides energy for cellular activities. Submitochondrial locations of proteins play crucial role in understanding different biological processes such as energy metabolism, program cell death, and ionic homeostasis. Prediction of submitochondrial locations through conventional methods are...

Extracellular Matrix (ECM) proteins are the vital type of proteins that are secreted by resident cells. ECM proteins perform several significant functions including adhesion, differentiation, cell migration and proliferation. In addition, ECM proteins regulate angiogenesis process, embryonic development, tumor growth and gene expression. Due to tre...

Meiotic recombination is vital for maintaining the sequence diversity in human genome. Meiosis and recombination are considered the essential phases of cell division. In meiosis, the genome is divided into equal parts for sexual reproduction whereas in recombination, the diverse genomes are combined to form new combination of genetic variations. Re...

Background and objectives: Gene splicing is a vital source of protein diversity. Perfectly eradication of introns and joining exons is the prominent task in eukaryotic gene expression, as exons are usually interrupted by introns. Identification of splicing sites through experimental techniques is complicated and time-consuming task. With the avala...

Heat Shock Proteins (HSPs) are the substantial ingredients for cell growth and viability, which are found in all living organisms. HSPs manage the process of folding and unfolding of proteins, the quality of newly synthesized proteins and protecting cellular homeostatic processes from environmental stress. On the basis of functionality, HSPs are ca...

Translation is an essential genetic process for understanding the mechanism of gene expression. Due to the large number of protein sequences generated in the post-genomic era, conventional methods are unable to identify Translation Initiation Site (TIS) in human genes timely and accurately. It is thus highly desirable to develop an automatic and ac...

Membrane protein is a central component of the cell that manages intra and extracellular processes. Membrane proteins execute a diversity of functions that are vital for the survival of organisms. The topology of transmembrane proteins describes the number of transmembrane (TM) helix segments and its orientation. However, owing to the lack of its r...

Face recognition is one of the challenging problems in the area of pattern detection and recognition. It is practically applicable in different automated systems for security purpose, access control, public security, desktop login and many more. Due to vagueness and intricacy in face pattern, there need more exercise in order to enhance the quality...

Enzyme catalysis is one of the most essential and striking processes among of all the complex processes that have evolved in living organisms. Enzymes are biological catalysts, which play a significant role in industrial applications as well as in medical areas, due to profound specificity, selectivity and catalytic efficiency. Refining catalytic e...

Forecasting is to see ahead the occurrence of the underline actual event generation. Forecasting is a science and technology application in order to predict the atmospheric condition.In the last few decades, Weather Forecasting is one of the most crucial, high valued most significantly and technologically challenging problem of the world. We often...

Proteins control all biological functions in living species. Protein structure is comprised of four major classes including all-α class, all-β class, α+β, and α/β. Each class performs different function according to their nature. Owing to the large exploration of protein sequences in the databanks, the identification of protein structure classes is...

Fingerprint recognition is mostly used in biometric and security system that are practically applicable in different fields of national defense organization for various safety measures. Looking at the importance of biometric system, a lot of efforts have been carried out for recognition of fingerprint, but still there exist some issues, which deman...

Membrane protein is the prime constituent of a cell, which performs a role of mediator between intra and extracellular processes. The prediction of transmembrane (TM) helix and its topology provides essential information regarding the function and structure of membrane proteins. However, prediction of TM helix and its topology is a challenging issu...

A real-time system must respond fast enough that it can serve the task in a particular time interval. The key constraints in real-time systems are to meet timing bounds and for these systems it is necessary to complete all of their tasks in time. Due to increasing complexity of real-time applications, powerful processors are needed to accommodate c...

Membrane proteins are fundamental elements of a cell that play essential roles nearly in all the cellular processes. Prediction of membrane protein types using biological experiments are often complicated and time consuming. Therefore it is highly desirable to develop a robust, reliable and high-throughput silico method to predict membrane protein...

About 50% of available drugs are targeted against membrane proteins. Knowledge of membrane protein's structure and function has great importance in biological and pharmacological research. Therefore, an automated method is exceedingly advantageous, which can help in identifying the new membrane protein types based on their primary sequence. In this...

Outer membrane proteins (OMPs) play important roles in cell biology. In addition, OMPs are targeted by multiple drugs. The identification of OMPs from genomic sequences and successful prediction of their secondary and tertiary structures is a challenging task due to short membrane-spanning regions with high variation in properties. Therefore, an ef...

Knowledge of the types of membrane protein provides useful clues in deducing the functions of uncharacterized membrane proteins. An automatic method for efficiently identifying uncharacterized proteins is thus highly desirable. In this work, we have developed a novel method for predicting membrane protein types by exploiting the discrimination capa...

Precise information about protein locations in a cell facilitates in the understanding of the function of a protein and its interaction in the cellular environment. This information further helps in the study of the specific metabolic pathways and other biological processes. We propose an ensemble approach called "CE-PLoc" for predicting subcellula...

Membrane proteins play an important role in many biological processes and are attractive drug targets. In this study, membrane proteins are classified using two feature extraction and several classification strategies. The first feature extraction strategy is pseudo amino acid (PseAA) composition; utilizing hydrophobicity and hydrophilicity for ref...

Membrane proteins are vital type of proteins that serve as channels, receptors, and energy transducers in a cell. Prediction of membrane protein types is an important research area in bioinformatics. Knowledge of membrane protein types provides some valuable information for predicting novel example of the membrane protein types. However, classifica...