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  1. Article ; Online: Profiling the structural determinants of pyrrolidine derivative as gelatinases (MMP-2 and MMP-9) inhibitors using in silico approaches.

    Tabti, Kamal / Ahmad, Iqrar / Zafar, Imran / Sbai, Abdelouahid / Maghat, Hamid / Bouachrine, Mohammed / Lakhlifi, Tahar

    Computational biology and chemistry

    2023  Volume 104, Page(s) 107855

    Abstract: Quantitative structure activity relationship (QSAR) studies on pyrrolidine derivatives have been established using CoMFA, CoMSIA, and Hologram QSAR analysis to estimate the values ( ... ...

    Abstract Quantitative structure activity relationship (QSAR) studies on pyrrolidine derivatives have been established using CoMFA, CoMSIA, and Hologram QSAR analysis to estimate the values (pIC
    MeSH term(s) Molecular Docking Simulation ; Gelatinases ; Matrix Metalloproteinase 2 ; Matrix Metalloproteinase 9 ; Binding Sites ; Quantitative Structure-Activity Relationship
    Chemical Substances Gelatinases (EC 3.4.24.-) ; Matrix Metalloproteinase 2 (EC 3.4.24.24) ; Matrix Metalloproteinase 9 (EC 3.4.24.35)
    Language English
    Publishing date 2023-03-26
    Publishing country England
    Document type Journal Article
    ISSN 1476-928X
    ISSN (online) 1476-928X
    DOI 10.1016/j.compbiolchem.2023.107855
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  2. Article ; Online: Design of novel isoxazole derivatives as tubulin inhibitors using computer-aided techniques: QSAR modeling,

    Moukhliss, Youness / Koubi, Yassine / Zafar, Imran / Alaqarbeh, Marwa / Maghat, Hamid / Sbai, Abdelouahid / Lakhlifi, Tahar / Bouachrine, Mohammed

    Journal of biomolecular structure & dynamics

    2024  , Page(s) 1–12

    Abstract: In the current work, computational methods were used to investigate new isoxazole derivatives that could be used as tubulin inhibitors. The study aims to develop a reliable quantitative structure-activity relationship (QSAR) model, following the criteria ...

    Abstract In the current work, computational methods were used to investigate new isoxazole derivatives that could be used as tubulin inhibitors. The study aims to develop a reliable quantitative structure-activity relationship (QSAR) model, following the criteria set by Golbraikh, Tropsha, and Roy. As a result, seven candidate compounds were developed, all having higher activity than the well-established anticancer agent Cisplatin (Cisp). According to the ADMETox
    Language English
    Publishing date 2024-02-14
    Publishing country England
    Document type Journal Article
    ZDB-ID 49157-3
    ISSN 1538-0254 ; 0739-1102
    ISSN (online) 1538-0254
    ISSN 0739-1102
    DOI 10.1080/07391102.2024.2306493
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    In stock of ZB MED Cologne/Königswinter

    Zs.A 2093: Show issues Location:
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  3. Article: Colon Cancer Metastatic to the Thyroid Gland in the Setting of Pathologically Diagnosed Papillary Thyroid Cancer: A Review and Report of a Case.

    Zafar, Imran / Buzad, Francis / Weir, Edward

    Cureus

    2020  Volume 12, Issue 3, Page(s) e7314

    Abstract: Colon cancer metastases to the thyroid gland are a particularly rare occurrence. Despite the relative amenability of the gland to clinical, radiologic, and pathologic assessment, preoperative distinction between primary and secondary thyroid neoplastic ... ...

    Abstract Colon cancer metastases to the thyroid gland are a particularly rare occurrence. Despite the relative amenability of the gland to clinical, radiologic, and pathologic assessment, preoperative distinction between primary and secondary thyroid neoplastic processes remains difficult. Here we describe a case of a patient with a known history of stage IV colon cancer with multiple pulmonary metastases, presenting with a thyroid lesion initially diagnosed as papillary thyroid cancer on fine-needle aspiration biopsy but found to be metastatic colonic adenocarcinoma on post-thyroidectomy pathologic evaluation utilizing immunohistochemical techniques. A review of the literature is also included.
    Language English
    Publishing date 2020-03-18
    Publishing country United States
    Document type Case Reports
    ZDB-ID 2747273-5
    ISSN 2168-8184
    ISSN 2168-8184
    DOI 10.7759/cureus.7314
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  4. Article: Genome wide identification, phylogeny, and synteny analysis of

    Zafar, Imran / Iftikhar, Rida / Ahmad, Syed Umair / Rather, Mohd Ashraf

    Biotechnology reports (Amsterdam, Netherlands)

    2021  Volume 30, Page(s) e00607

    Abstract: Common carp ( ...

    Abstract Common carp (
    Language English
    Publishing date 2021-03-16
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 2801018-8
    ISSN 2215-017X
    ISSN 2215-017X
    DOI 10.1016/j.btre.2021.e00607
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  5. Article: The Role of Machine Learning and Deep Learning Approaches for the Detection of Skin Cancer.

    Mazhar, Tehseen / Haq, Inayatul / Ditta, Allah / Mohsan, Syed Agha Hassnain / Rehman, Faisal / Zafar, Imran / Gansau, Jualang Azlan / Goh, Lucky Poh Wah

    Healthcare (Basel, Switzerland)

    2023  Volume 11, Issue 3

    Abstract: Machine learning (ML) can enhance a dermatologist's work, from diagnosis to customized care. The development of ML algorithms in dermatology has been supported lately regarding links to digital data processing (e.g., electronic medical records, Image ... ...

    Abstract Machine learning (ML) can enhance a dermatologist's work, from diagnosis to customized care. The development of ML algorithms in dermatology has been supported lately regarding links to digital data processing (e.g., electronic medical records, Image Archives, omics), quicker computing and cheaper data storage. This article describes the fundamentals of ML-based implementations, as well as future limits and concerns for the production of skin cancer detection and classification systems. We also explored five fields of dermatology using deep learning applications: (1) the classification of diseases by clinical photos, (2) der moto pathology visual classification of cancer, and (3) the measurement of skin diseases by smartphone applications and personal tracking systems. This analysis aims to provide dermatologists with a guide that helps demystify the basics of ML and its different applications to identify their possible challenges correctly. This paper surveyed studies on skin cancer detection using deep learning to assess the features and advantages of other techniques. Moreover, this paper also defined the basic requirements for creating a skin cancer detection application, which revolves around two main issues: the full segmentation image and the tracking of the lesion on the skin using deep learning. Most of the techniques found in this survey address these two problems. Some of the methods also categorize the type of cancer too.
    Language English
    Publishing date 2023-02-01
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2721009-1
    ISSN 2227-9032
    ISSN 2227-9032
    DOI 10.3390/healthcare11030415
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  6. Article ; Online: Multifunctional analysis and antimicrobial activity of

    Fatima, Maryam / Zafar, Imran / Ain, Qurat Ul / Anwar, Muhammad Masood / Yousaf, Waqas / Rather, Mohd Ashraf / Nainu, Firzan / Sharma, Rohit

    Drug metabolism and personalized therapy

    2023  Volume 38, Issue 4, Page(s) 359–366

    Abstract: Objectives: Antibiotic resistance is rising, prompting innovative strategies for eradicating the epidemic. This study investigated the antibacterial properties of the leaves of a widely used medicinal plant, : Methods: The plant's polar (water, ... ...

    Abstract Objectives: Antibiotic resistance is rising, prompting innovative strategies for eradicating the epidemic. This study investigated the antibacterial properties of the leaves of a widely used medicinal plant,
    Methods: The plant's polar (water, methanol) and non-polar (hexane) extracts were tested against several different bacterial strains using the disc diffusion technique.
    Results: In a study, it was found that the water extract had the greatest inhibitory effect on
    Conclusions: The study concluded that the extract's phenolic group of secondary metabolites were responsible for its antibacterial activity. The study highlights
    MeSH term(s) Humans ; Plants, Medicinal/chemistry ; Plant Extracts/pharmacology ; Plant Extracts/chemistry ; Justicia/chemistry ; Anti-Infective Agents/pharmacology ; Anti-Bacterial Agents/analysis ; Flavonoids/pharmacology ; Flavonoids/analysis ; Water/analysis ; Phenols/analysis ; Phenols/pharmacology ; Plant Leaves/chemistry
    Chemical Substances Plant Extracts ; Anti-Infective Agents ; Anti-Bacterial Agents ; Flavonoids ; Water (059QF0KO0R) ; Phenols
    Language English
    Publishing date 2023-06-30
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 2822040-7
    ISSN 2363-8915 ; 2363-8907
    ISSN (online) 2363-8915
    ISSN 2363-8907
    DOI 10.1515/dmpt-2023-0012
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  7. Article ; Online: Bioinformatics approaches and big data analytics opportunities in improving fisheries and aquaculture.

    Rather, Mohd Ashraf / Agarwal, Deepak / Bhat, Tashooq Ahmad / Khan, Irfan Ahamd / Zafar, Imran / Kumar, Sujit / Amin, Adnan / Sundaray, Jitendra Kumar / Qadri, Tahiya

    International journal of biological macromolecules

    2023  Volume 233, Page(s) 123549

    Abstract: Aquaculture has witnessed an excellent growth rate during the last two decades and offers huge potential to provide nutritional as well as livelihood security. Genomic research has contributed significantly toward the development of beneficial ... ...

    Abstract Aquaculture has witnessed an excellent growth rate during the last two decades and offers huge potential to provide nutritional as well as livelihood security. Genomic research has contributed significantly toward the development of beneficial technologies for aquaculture. The existing high throughput technologies like next-generation technologies generate oceanic data which requires extensive analysis using appropriate tools. Bioinformatics is a rapidly evolving science that involves integrating gene based information and computational technology to produce new knowledge for the benefit of aquaculture. Bioinformatics provides new opportunities as well as challenges for information and data processing in new generation aquaculture. Rapid technical advancements have opened up a world of possibilities for using current genomics to improve aquaculture performance. Understanding the genes that govern economically relevant characteristics, necessitates a significant amount of additional research. The various dimensions of data sources includes next-generation DNA sequencing, protein sequencing, RNA sequencing gene expression profiles, metabolic pathways, molecular markers, and so on. Appropriate bioinformatics tools are developed to mine the biologically relevant and commercially useful results. The purpose of this scoping review is to present various arms of diverse bioinformatics tools with special emphasis on practical translation to the aquaculture industry.
    MeSH term(s) Fisheries ; Data Science ; Computational Biology/methods ; Genomics/methods ; Aquaculture
    Language English
    Publishing date 2023-02-04
    Publishing country Netherlands
    Document type Journal Article ; Review
    ZDB-ID 282732-3
    ISSN 1879-0003 ; 0141-8130
    ISSN (online) 1879-0003
    ISSN 0141-8130
    DOI 10.1016/j.ijbiomac.2023.123549
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    Zs.B 2374: Show issues Location:
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    bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular
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  8. Article: Genome-Wide identification of doublesex and Mab-3-Related transcription factor (DMRT) genes in nile tilapia (

    Zafar, Imran / Rather, Mohd Ashraf / Dhandare, Bhushan C

    Biotechnology reports (Amsterdam, Netherlands)

    2019  Volume 24, Page(s) e00398

    Abstract: Doublesex and Mab-3-related transcription factor (DMRT) gene family is extensively known for its contribution in sex determination and differentiation across phyla. Here we report the identification of five DM (doublesex and mab-3) domain genes in the ... ...

    Abstract Doublesex and Mab-3-related transcription factor (DMRT) gene family is extensively known for its contribution in sex determination and differentiation across phyla. Here we report the identification of five DM (doublesex and mab-3) domain genes in the Nile tilapia which includes DMRT1, DMRTa2, DMRT2a, DMRT2b and DMRT3a. The full-length sequence of DMRT genes ranges from 3526 (DMRTA2) to 1471bp (DMRT1) which encode putative proteins series from 469 to 372 amino acids. All the DMRT proteins contained at least one conserved DNA-binding DM domain. Sub-cellular localization and gene ontology revealed DMRT1 protein is maximum localized in nuclear region and gene ontology analysis showed the molecular function of 48.2%, biological process 43.6% and cellular component 25%. Chromosomal location and synteny analysis displayed that DMRT genes mostly cluster linkage group 12. Altogether, our findings provide vital genomic information for future studies of biochemical, physiological, and phylogenetic studies on DMRT genes in teleost.
    Language English
    Publishing date 2019-11-11
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 2801018-8
    ISSN 2215-017X
    ISSN 2215-017X
    DOI 10.1016/j.btre.2019.e00398
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  9. Article ; Online: Structural, genomic information and computational analysis of emerging coronavirus (SARS-CoV-2).

    Agarwal, Deepak / Zafar, Imran / Ahmad, Syed Umair / Kumar, Sujit / Ain, Qurat Ul / Sundaray, Jitendra Kumar / Rather, Mohd Ashraf

    Bulletin of the National Research Centre

    2022  Volume 46, Issue 1, Page(s) 170

    Abstract: Background: The emerging viral pandemic worldwide is associated with a novel coronavirus, SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2). This virus is said to emerge from its epidemic center in Wuhan, China, in 2019. Coronaviruses (CoVs) ... ...

    Abstract Background: The emerging viral pandemic worldwide is associated with a novel coronavirus, SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2). This virus is said to emerge from its epidemic center in Wuhan, China, in 2019. Coronaviruses (CoVs) are single-stranded, giant, enveloped RNA viruses that come under the family of coronaviridae and order Nidovirales which are the crucial pathogens for humans and other vertebrates.
    Main body: Coronaviruses are divided into several subfamilies and genera based on the genomic structure and phylogenetic relationship. The name corona is raised due to the presence of spike protein on the envelope of the virus. The structural and genomic study revealed that the total genome size of SARS-CoV-2 is from 29.8 kb to 29.9 kb. The spike protein (S) is a glycoprotein that attaches to the receptor of host cells for entry into the host cell, followed by the attachment of virus RNA to the host ribosome for translation. The phylogenetic analysis of SARS-CoV-2 revealed the similarity (75-88%) with bat SARS-like coronavirus.
    Conclusion: The sign and symptoms of novel severe acute respiratory syndrome coronavirus 2 are also discussed in this paper. The worldwide outbreak and prevention from severe acute respiratory syndrome coronavirus 2 are overviewed in the present article. The latest variant of coronavirus and the status of vaccines are also overviewed in the present article.
    Language English
    Publishing date 2022-06-15
    Publishing country Germany
    Document type Journal Article ; Review
    ISSN 2522-8307
    ISSN (online) 2522-8307
    DOI 10.1186/s42269-022-00861-6
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  10. Article: In silico

    Arfat, Yasir / Zafar, Imran / Sehgal, Sheikh Arslan / Ayaz, Mazhar / Sajid, Muhammad / Khan, Jamal Muhammad / Ahsan, Muhammad / Rather, Mohd Ashraf / Khan, Azmat Ali / Alshehri, Jamilah M / Akash, Shopnil / Nepovimova, Eugenie / Kuca, Kamil / Sharma, Rohit

    Heliyon

    2023  Volume 9, Issue 11, Page(s) e22204

    Abstract: Understanding the role of the mitogen-activated protein kinases (MAPKs) signalling pathway is essential in advancing treatments for neurodegenerative disorders like Alzheimer's. In this study, we investigate in-silico techniques involving computer-based ... ...

    Abstract Understanding the role of the mitogen-activated protein kinases (MAPKs) signalling pathway is essential in advancing treatments for neurodegenerative disorders like Alzheimer's. In this study, we investigate in-silico techniques involving computer-based methods to extract the MAPK1 sequence. Our applied methods enable us to analyze the protein's structure, evaluate its properties, establish its evolutionary relationships, and assess its prevalence in populations. We also predict epitopes, assess their ability to trigger immune responses, and check for allergenicity using advanced computational tools to understand their immunological properties comprehensively. We apply virtual screening, docking, and structure modelling to identify promising drug candidates, analyze their interactions, and enhance drug design processes. We identified a total of 30 cell-targeting molecules against the MAPK1 protein, where we selected top 10 CTL epitopes (PAGGGPNPG, GGGPNPGSG, SAPAGGGPN, AVSAPAGGG, AGGGPNPGS, ATAAVSAPA, TAAVSAPAG, ENIIGINDI, INDIIRTPT, and NDIIRTPTI) for further evaluation to determine their potential efficacy, safety, and suitability for vaccine design based on strong binding potential. The potential to cover a large portion of the world's population with these vaccines is substantial-88.5 % for one type and 99.99 % for another. In exploring the molecular docking analyses, we examined a library of compounds from the ZINC database. Among them, we identified twelve compounds with the lowest binding energy. Critical residues in the MAPK1 protein, such as VAL48, LYS63, CYS175, ASP176, LYS160, ALA61, LEU165, TYR45, SER162, ARG33, PRO365, PHE363, ILE40, ASN163, and GLU42, are pivotal for interactions with these compounds. Our result suggests that these compounds could influence the protein's behaviour. Moreover, our docking analyses revealed that the predicted peptides have a strong affinity for the MAPK1 protein. These peptides form stable complexes, indicating their potential as potent inhibitors. This study contributes to the identification of new drug compounds and the screening of their desired properties. These compounds could potentially help reduce the excessive activity of MAPK1, which is linked to Alzheimer's disease.
    Language English
    Publishing date 2023-11-12
    Publishing country England
    Document type Journal Article
    ZDB-ID 2835763-2
    ISSN 2405-8440
    ISSN 2405-8440
    DOI 10.1016/j.heliyon.2023.e22204
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