Int. J. Comput. Biol. Drug Des.最新文献

筛选
英文 中文
Telemetric drug injection system with centralised monitoring and control of multiple injectors 遥测药物注射系统,集中监测和控制多个注射器
Int. J. Comput. Biol. Drug Des. Pub Date : 2021-01-01 DOI: 10.1504/ijcbdd.2021.10043848
Maham Sarvat, Suhaib Masroor, Mohammad Muzammil Khan
{"title":"Telemetric drug injection system with centralised monitoring and control of multiple injectors","authors":"Maham Sarvat, Suhaib Masroor, Mohammad Muzammil Khan","doi":"10.1504/ijcbdd.2021.10043848","DOIUrl":"https://doi.org/10.1504/ijcbdd.2021.10043848","url":null,"abstract":"","PeriodicalId":13612,"journal":{"name":"Int. J. Comput. Biol. Drug Des.","volume":"39 1","pages":"364-376"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87488712","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
PPI network analysis of diabetic retinopathy genes 糖尿病视网膜病变基因的PPI网络分析
Int. J. Comput. Biol. Drug Des. Pub Date : 2020-06-29 DOI: 10.1504/ijcbdd.2020.107892
Vidhya Gopalakrishnan, A. Nambiar, Sukanya Basu, G. Madhuvanthi
{"title":"PPI network analysis of diabetic retinopathy genes","authors":"Vidhya Gopalakrishnan, A. Nambiar, Sukanya Basu, G. Madhuvanthi","doi":"10.1504/ijcbdd.2020.107892","DOIUrl":"https://doi.org/10.1504/ijcbdd.2020.107892","url":null,"abstract":"Diabetic retinopathy (DR) is the leading causes of blindness in many countries. Proteomic studies of DR have discovered a set of genes involved in the disease. In this study, protein protein interaction network (PPIN) of DR proteins were analysed to identify the hub nodes and a PPI network related to retinopathy genes was generated using Cytoscape software. The constructed protein network was analysed using ClusterONE, ClueGO and cytohubba. Among 497 identified candidate proteins, 482 were seen in the main connected component. The topology and functionality of the associated proteins were studied based on centrality parameters such as degree, betweenness and closeness. From the result, two significant clusters were identified which included the experimentally proven five seed proteins. These findings helped in identifying important hub proteins and their direct interacting partners that could be considered as therapeutic biomarkers for treating disease.","PeriodicalId":13612,"journal":{"name":"Int. J. Comput. Biol. Drug Des.","volume":"25 1","pages":"302-315"},"PeriodicalIF":0.0,"publicationDate":"2020-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91233997","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Exploring the antineoplastic effect of phytochemicals from Ipomea sepiaria against matrix metallopeptidases: a pharmacoinformatics approach 从药物信息学的角度探讨海苔植物化学物质对基质金属肽酶的抗肿瘤作用
Int. J. Comput. Biol. Drug Des. Pub Date : 2020-06-29 DOI: 10.1504/ijcbdd.2020.10030164
S. Ariya, B. Joseph, J. Christy
{"title":"Exploring the antineoplastic effect of phytochemicals from Ipomea sepiaria against matrix metallopeptidases: a pharmacoinformatics approach","authors":"S. Ariya, B. Joseph, J. Christy","doi":"10.1504/ijcbdd.2020.10030164","DOIUrl":"https://doi.org/10.1504/ijcbdd.2020.10030164","url":null,"abstract":"Cancer is one of the leading causes of death worldwide. Though advanced treatment options are available, a cure for this disease is still unidentified. This work is aimed at the identification of drugs to target the matrix metallopeptidase, a major protein overexpressed in this disease. Two hundred and forty seven active phytochemicals from the medicinal plant Ipomea sepiaria were taken as the lead drugs and molecular docking analysis as well as interaction studies were carried out. The binding affinity for each ligand with the target was determined along with Molecular dynamic simulation of the complex to determine the stability of the complex in the system. Thus eight drugs namely Tetradecanoic acid, Nerolidol, Ipomeanine, Dibutyl phthalate, Cis-Caffeic acid, Caffeic acid, Moupinamide and N-Cis-Feruloyltyramine were found to be the most promising drugs for treating cancer. They outperformed the scores of four different drugs available in the market.","PeriodicalId":13612,"journal":{"name":"Int. J. Comput. Biol. Drug Des.","volume":"20 1","pages":"255-271"},"PeriodicalIF":0.0,"publicationDate":"2020-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75876169","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Comparative in-silico parmacokinetics and molecular docking study on gedunin isolated from Azadirachta indica, its modified derivatives and selected antifolate drugs as potential dihydrofolate reductase inhibitors of Plasmodium falciparum 印楝素及其修饰衍生物与候选抗叶酸药物作为恶性疟原虫二氢叶酸还原酶抑制剂的硅片药动学比较及分子对接研究
Int. J. Comput. Biol. Drug Des. Pub Date : 2020-06-23 DOI: 10.1504/ijcbdd.2020.107888
S. Cosmas, Olanrewaju Ayodeji Durojaye, P. Joshua, J. Ogidigo, Collins Audu Difa, Justus Nmaduka Nwachukwu
{"title":"Comparative in-silico parmacokinetics and molecular docking study on gedunin isolated from Azadirachta indica, its modified derivatives and selected antifolate drugs as potential dihydrofolate reductase inhibitors of Plasmodium falciparum","authors":"S. Cosmas, Olanrewaju Ayodeji Durojaye, P. Joshua, J. Ogidigo, Collins Audu Difa, Justus Nmaduka Nwachukwu","doi":"10.1504/ijcbdd.2020.107888","DOIUrl":"https://doi.org/10.1504/ijcbdd.2020.107888","url":null,"abstract":"Introduction: Malaria is one of the most common diseases that threaten many of the subtropical and tropical regions. Countries where the risk of transmission of malaria is at the high rate are over a hundred currently and these counties are being visited by over 125, 000, 000 international travelers on yearly basis. Materials and Methods: Chemical structures of ligands were drawn with the MarvinSketch software and converted into SMILES strings for the calculation of pharmacokinetic parameters. Results: The predicted binding energies between the three selected antifolate drugs, gedunin, its derivatives (C=O, C2H5, C3H6O2, C4H8O2, CONH2, NH2, OCH3, OH) and the Plasmodium falciparium DHFR enzyme were -8.0, -7.5, -8.0, -9.5, -9.0, -8.4, -8.9, -8.2, -8.9, -8.7, -8.3, -8.4 Kcal/mol respectively. Conclusion: The results from the experiment showed that gedunin and its modified derivatives might be better antimalarial agents than the antifolate drugs as revealed by the predicted binding energies between the target enzyme and the ligands.","PeriodicalId":13612,"journal":{"name":"Int. J. Comput. Biol. Drug Des.","volume":"10 1","pages":"237-254"},"PeriodicalIF":0.0,"publicationDate":"2020-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85012725","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
In-silico analysis of peptidoglycan hydrolases from Serratia marcescens and other Serratia species 粘质沙雷氏菌及其他沙雷氏菌多肽聚糖水解酶的计算机分析
Int. J. Comput. Biol. Drug Des. Pub Date : 2020-06-23 DOI: 10.1504/ijcbdd.2020.107891
Aditi Rathee, K. Gupta, S. Kumari, S. Chhibber, Ashok Kumar
{"title":"In-silico analysis of peptidoglycan hydrolases from Serratia marcescens and other Serratia species","authors":"Aditi Rathee, K. Gupta, S. Kumari, S. Chhibber, Ashok Kumar","doi":"10.1504/ijcbdd.2020.107891","DOIUrl":"https://doi.org/10.1504/ijcbdd.2020.107891","url":null,"abstract":"Bacteria possess a protective extracytoplasmic glycopeptide polymer, i.e., peptidoglycan. In case of Gram-positive bacteria, it acts as scaffolds to many virulence factors whereas in Gram-negative bacteria, it serves as an anchor to outer membrane. Many antibiotics act on bacteria by inhibiting the activity of enzymes involved in the synthesis of peptidoglycan. However during the years, overexposure of antibiotics has led to modification of peptidoglycan chain by bacteria viz. N-deacetylation, N-glycolylation and O-acetylation, etc. Peptidoglycan hydrolases are known to play an important role in the suppression of bacterial infections as a component of the innate immune system as well as disintegrating peptidoglycan which is an important factor in the pathogenesis of various organisms. Present study explicates computational analysis of a peptidoglycan hydrolase enzyme from a total of 41 fully sequenced genomes of Serratia marcescens and other Serratia species. Seventy-five unique motifs were identified among the protein sequences of peptidoglycan hydrolase.","PeriodicalId":13612,"journal":{"name":"Int. J. Comput. Biol. Drug Des.","volume":"1 1","pages":"282-301"},"PeriodicalIF":0.0,"publicationDate":"2020-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75710246","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A review on iris recognition system for person identification 虹膜识别系统在身份识别中的研究进展
Int. J. Comput. Biol. Drug Des. Pub Date : 2020-06-23 DOI: 10.1504/ijcbdd.2020.107893
B. Bharathi, P. B. Shamily
{"title":"A review on iris recognition system for person identification","authors":"B. Bharathi, P. B. Shamily","doi":"10.1504/ijcbdd.2020.107893","DOIUrl":"https://doi.org/10.1504/ijcbdd.2020.107893","url":null,"abstract":"Iris is an evenly highlighted radial membrane with complex patterns that are perceptible upon near inspection, which exists behind the cornea of the eye with a changeable circular opening called the pupil. Iris Recognition System is a technique of identifying people using those complex distinctive features in patterns. Generally, Iris recognition system is used in security allied applications such as, authenticating PCs, network and mobile devices, physical and logical premises access control, national border control, secure banking and financial transactions, national identity like AADHAAR in India etc. This paper reviews the state-of-art design and implementation of various iris recognition systems. The contributions of the paper include: 1) conferring the importance, applications and deployment of iris recognition system related to human identification; 2) providing an analysis on iris recognition methods in effect; 3, discussing the present research defies; 4) providing commendations for the future research on iris recognition system.","PeriodicalId":13612,"journal":{"name":"Int. J. Comput. Biol. Drug Des.","volume":"49 1","pages":"316-331"},"PeriodicalIF":0.0,"publicationDate":"2020-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82195722","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
In silico approach for the prediction of functional nsSNPs in WIF1 gene of WNT pathway WNT通路中WIF1基因功能性非单核苷酸多态性的计算机预测方法
Int. J. Comput. Biol. Drug Des. Pub Date : 2020-06-23 DOI: 10.1504/ijcbdd.2020.10030171
S. Sunkar, M. Aravind, S. Reddy, D. Neeharika
{"title":"In silico approach for the prediction of functional nsSNPs in WIF1 gene of WNT pathway","authors":"S. Sunkar, M. Aravind, S. Reddy, D. Neeharika","doi":"10.1504/ijcbdd.2020.10030171","DOIUrl":"https://doi.org/10.1504/ijcbdd.2020.10030171","url":null,"abstract":"WNT pathway is generally involved in controlling gene expression and cell behaviour. Earlier studies revealed that mutations in genes of WNT pathway lead to different types of cancer. In our study, cancer related novel gene candidate, WNT inhibitory factor 1 (WIF1) involved in WNT pathway was analysed for potentially deleterious non-synonymous single nucleotide polymorphisms (SNPs). From the dbSNP, the SNPs were retrieved and analysed using various computational tools for their pathogenicity and stability. A total of 36 mutations were identified to be deleterious and decrease the stability. The WIF domain region was considered where the mutations A73E, A73V, R71G were found to be potentially deleterious. These proteins with and without mutations were modelled and compared. Further, it was identified that three deleterious mutations were in the WIF1 protein binding site 1 suggesting their possible role in disease mechanism and can be considered as a potential drug target for various cancers in humans.","PeriodicalId":13612,"journal":{"name":"Int. J. Comput. Biol. Drug Des.","volume":"21 1","pages":"332-345"},"PeriodicalIF":0.0,"publicationDate":"2020-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84674891","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Inter k-shell connectivity: a novel computational approach to identify drug targets k-壳间连通性:一种识别药物靶标的新计算方法
Int. J. Comput. Biol. Drug Des. Pub Date : 2020-06-23 DOI: 10.1504/ijcbdd.2020.107890
P. Singh
{"title":"Inter k-shell connectivity: a novel computational approach to identify drug targets","authors":"P. Singh","doi":"10.1504/ijcbdd.2020.107890","DOIUrl":"https://doi.org/10.1504/ijcbdd.2020.107890","url":null,"abstract":"Central lethality rule suggests that hub proteins are the most important and their deletion leads to more damage to biological networks as compared to non-hub proteins. Hub proteins present towards the core of protein-protein interaction (PPI) network are considered to be more important in comparison to proteins at the periphery. The k-shell decomposition method generates k-shell index which indicates the local and global importance of a protein in PPI network. But there is no method till now reported which can differentiate among the proteins with same k-shell index. In this work attempt has been made to add parameter Inter k-shell connectivity to differentiate proteins with same k-shell index and exploring their biological importance.","PeriodicalId":13612,"journal":{"name":"Int. J. Comput. Biol. Drug Des.","volume":"73 1","pages":"272-281"},"PeriodicalIF":0.0,"publicationDate":"2020-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80456741","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Mathematical modelling of hepatitis C virus dynamics response to therapeutic effects of interferon and ribavirin 丙型肝炎病毒对干扰素和利巴韦林治疗效果的动力学反应的数学模型
Int. J. Comput. Biol. Drug Des. Pub Date : 2020-05-10 DOI: 10.1504/ijcbdd.2020.10029438
J. Ntaganda
{"title":"Mathematical modelling of hepatitis C virus dynamics response to therapeutic effects of interferon and ribavirin","authors":"J. Ntaganda","doi":"10.1504/ijcbdd.2020.10029438","DOIUrl":"https://doi.org/10.1504/ijcbdd.2020.10029438","url":null,"abstract":"This paper aims at designing a two compartmental mathematical model for determining the response of protein (Interferon) and drug (Ribarivin) for a patient who is suffering from hepatitis C virus (HCV). The stability of developed mathematical model is established. Using inverse techniques, model parameters and functions are identified. To test efficiency and response to interferon and ribavirin as HCV treatment, the validation of the mathematical model is achieved by considering a patient on treatment during 12 months. The results obtained are rather satisfactory since model parameters vary around their corresponding value that is equilibrium values for healthy subjects. Furthermore, the reaction of the disease to treatment can be modelled and a feedback can be approximated by the solution of an optimal control problem. The increasing necessity to interpret the meaning of measurable variables such as interferon and ribavirin under both physiological and pathological conditions for a patient has imposed the need for relatively simple models that should be able to describe as accurately as possible the mechanical behaviour of the disease.","PeriodicalId":13612,"journal":{"name":"Int. J. Comput. Biol. Drug Des.","volume":"37 1","pages":"169-180"},"PeriodicalIF":0.0,"publicationDate":"2020-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79268169","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Molecular docking, in-silico ADMET screening, MM-GBSA binding free energy of some novel isoxazole substituted 9-amnoacridines as HER2 inhibitors targetting breast cancer 一些新型异恶唑取代9-氨吖啶类乳腺癌HER2抑制剂的分子对接、ADMET筛选、MM-GBSA结合自由能
Int. J. Comput. Biol. Drug Des. Pub Date : 2020-05-10 DOI: 10.1504/ijcbdd.2020.10029437
R. Kalirajan, A. Pandiselvi, B. Gowramma
{"title":"Molecular docking, in-silico ADMET screening, MM-GBSA binding free energy of some novel isoxazole substituted 9-amnoacridines as HER2 inhibitors targetting breast cancer","authors":"R. Kalirajan, A. Pandiselvi, B. Gowramma","doi":"10.1504/ijcbdd.2020.10029437","DOIUrl":"https://doi.org/10.1504/ijcbdd.2020.10029437","url":null,"abstract":"9-Aminoacridines are known DNA-intercalating agents, due to antiproliferative properties. Anticancer agents with 9-aminoacridines like amascrine, and nitracrine were developed. Docking studies were performed for isoxazole substituted 9-aminoacridines 1a-x as selective HER2 inhibitors (PDB id-3PP0) targeting breast cancer using Schrodinger suit-2016-2, Maestro 9.6 version. Docking against HER2 was performed using Glide module, Insilco ADMET screening by qikprop module and free binding energy by Prime- MMGBSA module. The binding affinity of the molecules towards HER2 was selected by GLIDE score and interaction patterns. Many compounds showed strong hydrophobic interactions and hydrogen bonding interactions to inhibit HER2. The compounds 1a-x have good binding affinity with Glide scores -6.6 to -9.7 when compared with standards ledacrine(-6.3) and tamoxifen(-3.7). The ADMET properties are within recommended values. MM-GBSA binding results of the most potent inhibitor are favourable. The compounds, 1o,f,n,d,m,w with good Glide scores may produce significant anti-breast cancer activity and further in-vitro and in-vivo investigations.","PeriodicalId":13612,"journal":{"name":"Int. J. Comput. Biol. Drug Des.","volume":"53 1","pages":"155-168"},"PeriodicalIF":0.0,"publicationDate":"2020-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86040672","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信