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  • Search: isPartOf:"International Journal of Quantitative Structure-Property Relationships (IJQSPR)"
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QSAR 11 Applicability Domain 4 QSPR 4 Virtual Screening 4 PLS 3 3D-QSAR 2 Computational Toxicology 2 DFT 2 Dragon Software 2 HQSAR 2 MIA-QSAR 2 Model Validation 2 Molecular Docking 2 Molecular Modeling 2 Moving Average Analysis 2 Multiple Linear Regression 2 PCA 2 Prediction 2 Quasi-SMILES 2 REACH 2 SMILES 2 1816 1 2D Descriptors 1 2D-Discrete Fourier Transform 1 60 BC 1 Acetamide/Carboxamide Analogs 1 Acute Toxicity 1 Adsorption 1 Agriculture 1 Agrochemical QSAR 1 Amino Acids 1 Androgen Receptor Antagonist 1 Anticancer 1 Anticancer Drug Design 1 Antitubercular 1 Aromaticity Index 1 Artificial Neural Network 1 Artificial Neural Networks 1 Avian Toxicity 1 Ball & Stick 1
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Undetermined 40
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Article 40
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English 40
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Saha, Achintya 3 Dearden, John C. 2 Freitas, Matheus P. 2 Jha, Tarun 2 Khatri, Naveen 2 Madan, A. K. 2 Nicolotti, Orazio 2 Roy, Kunal 2 Salahinejad, Maryam 2 Zolfonoun, Ehsan 2 Achary, P. Ganga Raju 1 Adhikari, Nilanjan 1 Ajana, M. A. 1 Alam, Muneer 1 Alberga, Domenico 1 Amin, Sk. Abdul 1 Amrane, Abdeltif 1 Andricopulo, Adriano D. 1 Assis, Letícia Cristina 1 Barigye, Stephen J 1 Barigye, Stephen Jones 1 Basant, Nikita 1 Begum, Sanija 1 Benkortbi, Othmane 1 Bhayye, Sagar S. 1 Bisht, Neha 1 Borges de Melo, Eduardo 1 Bouachrine, M. 1 Bouachrine, Mohammed 1 Carbó-Dorca, Ramon 1 Carotti, Angelo 1 Castellano, Gloria 1 Catto, Marco 1 Chang, Chia Ming 1 Chang, Len 1 Chtita, S. 1 Chtita, Samir 1 Costa, Adriana Santos 1 Daré, Joyce K 1 Das, Rudra Narayan 1
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International Journal of Quantitative Structure-Property Relationships (IJQSPR) 40
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Showing 1 - 10 of 40
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Applications of Chemoinformatics in Predictive Toxicology for Regulatory Purposes, Especially in the Context of the EU REACH Legislation
Gozalbes, Rafael; Vicente de Julián-Ortiz, Jesús - In: International Journal of Quantitative … 3 (2018) 1, pp. 1-24
Chemoinformatics methodologies such as QSAR/QSPR have been used for decades in drug discovery projects, especially for the finding of new compounds with therapeutic properties and the optimization of ADME properties on chemical series. The application of computational techniques in predictive...
Persistent link: https://www.econbiz.de/10012047212
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Exploring QSAR of Some Antitubercular Agents: Application of Multiple Validation Strategies
Roy, Partha Pratim; Singh, Jagadish; Ray, Supratim - In: International Journal of Quantitative … 3 (2018) 1, pp. 25-42
The in vitro vero cell cytotoxicity of 93 antitubercular compounds belonging to the classes of chiral pentaamines, bis-cyclic guanidines, bis-cyclic thioureas, bis-cyclic piperazines, and quinolylhydrazones has been modeled in the present quantitative structure-activity relationship (QSAR)...
Persistent link: https://www.econbiz.de/10012047213
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QSAR and Structure-Based Docking Studies of Aryl Pyrido[2,3-d]pyrimidin-7(8H)-ones: An Attempt to Anticancer Drug Design
Durgapal, Jyoti; Bisht, Neha; Alam, Muneer; Sharma, Dipiksha - In: International Journal of Quantitative … 3 (2018) 1, pp. 43-73
The target of the present study has been to carry out computer-aided anticancer drug design utilizing genetic algorithm-multiple linear regression (GA-MLR) based quantitative structure activity relationship (QSAR) of fibroblast growth factor (FGFr) inhibition of pyrido[2,3-d]pyrimidine-7(8H)-one...
Persistent link: https://www.econbiz.de/10012047214
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QSPR Prediction of Retention Times of Methylxanthines and Cotinine by Bioplastic Evolution
Torrens, Francisco; Castellano, Gloria - In: International Journal of Quantitative … 3 (2018) 1, pp. 74-87
High-performance liquid-chromatographic retention times of methylxanthines and cotinine in human plasma and urine are modelled by structure–property relationships. Bioplastic evolution is an evolutionary perspective conjugating the effect of acquired characters, and relations that emerge among...
Persistent link: https://www.econbiz.de/10012047215
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(Q)SPR Models for Prediction of Hydrophobicity of Isatins
Madan, A.K.; Dutt, Rohit - In: International Journal of Quantitative … 3 (2018) 1, pp. 88-99
In the present study, the application of a wide variety of topological descriptors was investigated for predicting hydrophobicity (clogP) of isatin analogues. A total of four topochemical indices selected through decision tree (DT) were used for the development of single index based models using...
Persistent link: https://www.econbiz.de/10012047216
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Multilayer Perceptron Model for Predicting Acute Toxicity of Fungicides on Rats
Hamadache, Mabrouk; Amrane, Abdeltif; Hanini, Salah; … - In: International Journal of Quantitative … 3 (2018) 1, pp. 100-118
Quantitative Structure Activity Relationship (QSAR) models are expected to play an important role in the risk assessment of chemicals on humans and the environment. In this study, a QSAR model based on 10 molecular descriptors to predict acute oral toxicity of 91 fungicides to rats was developed...
Persistent link: https://www.econbiz.de/10012047217
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Study of Pyrimidine-4-carboxamide Derivatives as HIV-1 Integrase Inhibitors Using QSAR and DFT Calculations
Elidrissi, B.; Ousaa, A.; Ghamali, M.; Chtita, S.; … - In: International Journal of Quantitative … 3 (2018) 1, pp. 119-133
A Quantitative Structure–Activity Relationship (QSAR) study was performed to predict HIV-1 integrase inhibition activity (pIC50) of thirty-five 5-hydroxy-6-oxo-1,6-dihydropyrimidine-4-carboxamide compounds using the electronic and physico-chemical descriptors computed respectively, with...
Persistent link: https://www.econbiz.de/10012047218
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Strategies of Virtual Screening in Medicinal Chemistry
Nicolotti, Orazio; Passeri, Giovanna Ilaria; … - In: International Journal of Quantitative … 3 (2018) 1, pp. 134-160
Virtual screening represents an effective computational strategy to rise-up the chances of finding new bioactive compounds by accelerating the time needed to move from an initial intuition to market. Classically, the most pursued approaches rely on ligand- and structure-based studies, the former...
Persistent link: https://www.econbiz.de/10012047219
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First Report on the Validated Classification-Based Chemometric Modeling of Human Rhinovirus 3C Protease (HRV 3Cpro) Inhibitors
Jha, Tarun; Amin, Sk. Abdul; Adhikari, Nilanjan; Gayen, … - In: International Journal of Quantitative … 3 (2018) 2, pp. 1-20
Human rhinoviruses (HRVs), a major cause of common cold and upper respiratory infections, may trigger severe respiratory complications like asthma and COPD. To date, no drugs are available in the market which are designed as novel HRV inhibitors despite the involvement of some pharmaceutical...
Persistent link: https://www.econbiz.de/10012047220
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A Quantitative Structure-Property Relationship Study of the Adsorption of Amino Acids on Kaolinite Surfaces
Ou, Yu Heng; Chang, Len; Chang, Chia Ming - In: International Journal of Quantitative … 3 (2018) 2, pp. 21-35
This article describes how the adsorption behaviors of various kinds of amino acids onto kaolinite surfaces were investigated by the quantum-chemical calculations and the quantitative structure-property relationships (QSPR). The QSPR results revealed that both adsorption energies of amino acids...
Persistent link: https://www.econbiz.de/10012047221
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