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International Journal of Quantitative Structure-Property Relationships (IJQSPR)

International Journal of Quantitative Structure-Property Relationships (IJQSPR)

This journal will be converting from Hybrid Open Access to full Gold Open Access on January 1, 2023. All article manuscripts (in process and newly submitted) will be processed through as open access submissions in preparation for the 2023 conversion.
Interim Editor-in-Chief: Mihai V. Putz (West University of Timişoara, Romania)
Published: Continuous Volume |Established: 2016
ISSN: 2379-7487|EISSN: 2379-7479|DOI: 10.4018/IJQSPR
Latest Published Articles
Published: Nov 11, 2022
DOI: 10.4018/IJQSPR.313712
Volume 7
QSAR Regression Models for Predicting the Activity of Inhibitors of Staphylococcus Epidermidis QSAR Regression Models for Predicting the Activity of Inhibitors of Staphylococcus Epidermidis
Staphylococcus epidermidis is a common symbiont bacteria, and these are common causes of nosocomial infections. The QSAR model for the identification of inhibitors against Staphylococcus epidermidis... Show More
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MLA

Desai, Sharav A. "QSAR Regression Models for Predicting the Activity of Inhibitors of Staphylococcus Epidermidis." vol.7, no.1 2022: pp.1-17. http://doi.org/10.4018/IJQSPR.313712

APA

Desai, S. A. (2022). QSAR Regression Models for Predicting the Activity of Inhibitors of Staphylococcus Epidermidis. , 7(1), 1-17. http://doi.org/10.4018/IJQSPR.313712

Chicago

Desai, Sharav A. "QSAR Regression Models for Predicting the Activity of Inhibitors of Staphylococcus Epidermidis," 7, no.1: 1-17. http://doi.org/10.4018/IJQSPR.313712

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Mendeley
Published: Nov 4, 2022
DOI: 10.4018/IJQSPR.313627
Volume 7
GCN-Based Structure-Activity Relationship and DFT Studies of Staphylococcus aureus FabI Inhibitors GCN-Based Structure-Activity Relationship and DFT Studies of Staphylococcus aureus FabI Inhibitors
The enoyl-[acyl-carrier-protein] reductase (FabI) is an important enzyme in the fatty acid metabolism of Gram-positive bacteria, such as Staphylococcus aureus. FabI is also a potential target for... Show More
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MLA

Veríssimo, Gabriel Corrêa,et al. "GCN-Based Structure-Activity Relationship and DFT Studies of Staphylococcus aureus FabI Inhibitors." vol.7, no.1 2022: pp.1-16. http://doi.org/10.4018/IJQSPR.313627

APA

Veríssimo, G. C., Junior, V. S., Fernandes, P. O., Ishida, S., Kojima, R., Okuno, Y., Gertrudes, J. C., & Maltarollo, V. G. (2022). GCN-Based Structure-Activity Relationship and DFT Studies of Staphylococcus aureus FabI Inhibitors. , 7(1), 1-16. http://doi.org/10.4018/IJQSPR.313627

Chicago

Veríssimo, Gabriel Corrêa and Valtair Severino dos Santos Junior, Philipe Oliveira Fernandes, Shoichi Ishida, Ryosuke Kojima, Yasushi Okuno, Jadson Castro Gertrudes, and Vinicius Gonçalves Maltarollo. "GCN-Based Structure-Activity Relationship and DFT Studies of Staphylococcus aureus FabI Inhibitors," 7, no.1: 1-16. http://doi.org/10.4018/IJQSPR.313627

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Mendeley
Published: Apr 27, 2022
DOI: 10.4018/IJQSPR.294900
Volume 7
Creation of Quantitative Feature Toxicity Relationship Models for Cytotoxicity of Cadmium Containing Quantum Dots Towards HEK Cells Using QuasiSMILES Creation of Quantitative Feature Toxicity Relationship Models for Cytotoxicity of Cadmium Containing Quantum Dots Towards HEK Cells Using QuasiSMILES
The rising possibilities of quantum dots in biological fields have raised significant concerns about their toxicological influence, and there is a requirement of methods for prediction of toxic... Show More
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MLA

Kumar, Parvin,et al. "Creation of Quantitative Feature Toxicity Relationship Models for Cytotoxicity of Cadmium Containing Quantum Dots Towards HEK Cells Using QuasiSMILES." vol.7, no.1 2022: pp.1-20. http://doi.org/10.4018/IJQSPR.294900

APA

Kumar, P., Kumar, S., & Kumar, A. (2022). Creation of Quantitative Feature Toxicity Relationship Models for Cytotoxicity of Cadmium Containing Quantum Dots Towards HEK Cells Using QuasiSMILES. , 7(1), 1-20. http://doi.org/10.4018/IJQSPR.294900

Chicago

Kumar, Parvin and Sunil Kumar, and Ashwani Kumar. "Creation of Quantitative Feature Toxicity Relationship Models for Cytotoxicity of Cadmium Containing Quantum Dots Towards HEK Cells Using QuasiSMILES," 7, no.1: 1-20. http://doi.org/10.4018/IJQSPR.294900

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Mendeley
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Description, Mission, Scope & Coverage
Description:
The International Journal of Quantitative Structure-Property Relationships (IJQSPR) is a new journal that will explore the latest research surrounding the topic of Quantitative Structure-Property Relationship (QSPR) models and the applications of these models across the fields of materials... Show More
Mission & Scope:
The mission of the International Journal of Quantitative Structure-Property Relationships (IJQSPR) is to present double-blind peer-reviewed research articles on all facets of Quantitative Structure-Property Relationship (QSPR) models and applications. In presenting key research in the field of chemical research, IJQSPR aims to advance the current literature available across various chemistry... Show More
Coverage:
  • Applications of chemometric methods in analyzing complex data
  • Applications of machine learning algorithms in analyzing complex data
  • Biological applications
  • Chemical applications
  • Chemical Properties
  • Chemometric modeling
  • Development of new descriptors and/or validation metrics
  • Drug design applications
  • Environmental fate modeling
  • Material property modeling
  • Molecular Modeling
  • New software development of QSAR/QSPR applications
  • Physicochemical properties
  • Predictive toxicology
  • Property modeling
  • Risk management applications
Editorial Board

Editorial Board

Associate Editors
Agnieszka Gajewicz-Skretna, University of Gdansk, Poland ORCIDhttps://orcid.org/0000-0001-7702-210X
Chanin Nantasenamat, Mahidol University, Thailand ORCIDhttps://orcid.org/0000-0003-1040-663X
Chia Ming Chang, National Chung Hsing University, Taiwan ORCIDhttps://orcid.org/0000-0002-3383-4517
Georgia Melagraki, NovaMechanics Ltd, Cyprus
Orazio Nicolotti, University of Bari, Italy ORCIDhttps://orcid.org/0000-0001-6533-5539
Pravin Ambure, ProtoQSAR SL, Spain ORCIDhttps://orcid.org/0000-0001-7244-7117
Stephen Barigye, McGill University, Brazil
Supratik Kar, Kean University, United States ORCIDhttps://orcid.org/0000-0002-9411-2091
Editorial Review Board
Adriano Andricopulo, CIBFar, Brazil
Alejandro Speck, Universidad San Francisco de Quito, Brazil
Aleksandar Veselinovic, University of Niš, Faculty of Medicine, Serbia
Andrey Toropov, Mario Negri Institute for Pharmacological Research, Italy ORCIDhttps://orcid.org/0000-0001-6864-6340
Angelo Carotti, University of Bari, Italy
Anna Tsantili-Kakoulidou, National and Kapodistrian University of Athens, Greece ORCIDhttps://orcid.org/0000-0002-1001-1243
Antreas Afantitis, NovaMechanics Ltd, Cyprus
Asim Debnath, Lindsley F. Kimball Research Institute, United States
Bakhtiyor Rasulev, North Dakota State University, United States ORCIDhttps://orcid.org/0000-0002-7845-4884
Bono Lucic, Rugjer Bošković Institute, Croatia
David Winkler, Monash University, Australia ORCIDhttps://orcid.org/0000-0003-2423-674X
Eduardo de Melo, Universidade Estadual do Oeste do Paraná, Brazil ORCIDhttps://orcid.org/0000-0002-7455-1820
Emili Besalu, University of Girona, Spain ORCIDhttps://orcid.org/0000-0003-0093-5714
Esin Aki-Yalcin, Ankara University, Turkey
Evans Coutinho, Bombay College of Pharmacy, India ORCIDhttps://orcid.org/0000-0002-9807-7676
Feng Luan, Yantai University, China
Giuseppina Gini, Politecnico di Milano, Italy ORCIDhttps://orcid.org/0000-0002-0334-420X
Humberto Gonzalez-Diaz, University of the Basque Country, Spain
Jahan Ghasemi, University of Tehran, Iran, Islamic Republic Of
Jerzy Leszczynski, Jackson State University, United States ORCIDhttps://orcid.org/0000-0001-5290-6136
John Dearden, Liverpool John Moores University, United Kingdom
Jorge Gálvez, University of Valencia, Spain ORCIDhttps://orcid.org/0000-0003-0928-8437
Karoly Heberger, Research Centre for Natural Sciences, Hungarian Academy of Sciences, Hungary ORCIDhttps://orcid.org/0000-0003-0965-939X
Lemont Kier, Virginia Commonwealth University, United States
Luciana Scotti, Federal University of Paraiba, Brazil ORCIDhttps://orcid.org/0000-0003-1866-4107
M H Fatemi, University of Mazandaran, Iran, Islamic Republic Of
M. Natália Cordeiro, University of Porto, Portugal ORCIDhttps://orcid.org/0000-0003-3375-8670
Mange Yadav, Maharaja Sayajirao University of Baroda, India
Marjana Novič, National Institute of Chemistry, Slovenia ORCIDhttps://orcid.org/0000-0002-4243-2181
Matheus de Freitas, Federal University of Lavras, Brazil ORCIDhttps://orcid.org/0000-0002-7492-1801
Pablo Duchowicz, Instituto de Investigaciones Fisicoquímicas Teóricas y Aplicadas, Argentina ORCIDhttps://orcid.org/0000-0003-3225-7495
Rafael Gozalbes, ProtoQSAR SL, Universidad de Valencia (PCUV), Spain
Ramon Carbo-Dorca, University of Girona, Spain ORCIDhttps://orcid.org/0000-0002-9219-0686
Randa Salah Gomaa Mahmoud, Zagaziz university, Egypt ORCIDhttps://orcid.org/0000-0001-5463-084X
Satya Gupta, National Institute of Technical Teachers' Training & Research (Retired), India
Thales Kronenberger, University Hospital of Tübingen, Austria ORCIDhttps://orcid.org/0000-0001-6933-7590
Vinay Kumar, Jadavpur University, Kolkata (WB), India ORCIDhttps://orcid.org/0000-0002-6809-7633
Vladimir Poroikov, Institute of Biomedical Chemistry, Russian Federation
William Acree, University of North Texas, United States
Editor-in-Chief Emeritus
Kunal Roy, Jadavpur University, India ORCIDhttps://orcid.org/0000-0003-4486-8074
Reviewer Application
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Contact
Dr. Mihai Viorel Putz
Interim Editor-in-Chief
International Journal of Quantitative Structure-Property Relationships (IJQSPR)
Email: mihai.putz@e-uvt.ro
Editorial Office
701 E. Chocolate Ave.
Hershey, PA 17033, USA
717-533-8845 x100
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