Artykuły w czasopismach na temat „QSAR Model”
Utwórz poprawne odniesienie w stylach APA, MLA, Chicago, Harvard i wielu innych
Sprawdź 50 najlepszych artykułów w czasopismach naukowych na temat „QSAR Model”.
Przycisk „Dodaj do bibliografii” jest dostępny obok każdej pracy w bibliografii. Użyj go – a my automatycznie utworzymy odniesienie bibliograficzne do wybranej pracy w stylu cytowania, którego potrzebujesz: APA, MLA, Harvard, Chicago, Vancouver itp.
Możesz również pobrać pełny tekst publikacji naukowej w formacie „.pdf” i przeczytać adnotację do pracy online, jeśli odpowiednie parametry są dostępne w metadanych.
Przeglądaj artykuły w czasopismach z różnych dziedzin i twórz odpowiednie bibliografie.
Li, Yan Kun, i Xiao Ying Ma. "QSAR/QSPR Model Research of Complicated Samples". Advanced Materials Research 740 (sierpień 2013): 306–9. http://dx.doi.org/10.4028/www.scientific.net/amr.740.306.
Pełny tekst źródłaOkey, Robert W., i H. David Stensel. "A QSAR-based biodegradability model—A QSBR". Water Research 30, nr 9 (wrzesień 1996): 2206–14. http://dx.doi.org/10.1016/0043-1354(96)00098-x.
Pełny tekst źródłaZhang, Xiujun, H. G. Govardhana Reddy, Arcot Usha, M. C. Shanmukha, Mohammad Reza Farahani i Mehdi Alaeiyan. "A study on anti-malaria drugs using degree-based topological indices through QSPR analysis". Mathematical Biosciences and Engineering 20, nr 2 (2022): 3594–609. http://dx.doi.org/10.3934/mbe.2023167.
Pełny tekst źródłaToropov, Andrey A., i Alla P. Toropova. "The Monte Carlo Method as a Tool to Build up Predictive QSPR/QSAR". Current Computer-Aided Drug Design 16, nr 3 (2.06.2020): 197–206. http://dx.doi.org/10.2174/1573409915666190328123112.
Pełny tekst źródłaMudasir, Mudasir, Iqmal Tahir i Ida Puji Astuti Maryono Putri. "QUANTITATIVE STRUCTURE AND ACTIVITY RELATIONSHIP ANALYSIS OF 1,2,4-THIADIAZOLINE FUNGICIDES BASED ON MOLECULAR STRUCTURE CALCULATED BY AM1 METHOD". Indonesian Journal of Chemistry 3, nr 1 (7.06.2010): 39–47. http://dx.doi.org/10.22146/ijc.21904.
Pełny tekst źródłaSarkar, Bikash Kumar. "DFT Based QSAR Studies of Phenyl Triazolinones of Protoporphyrinogen Oxidase Inhibitors". Asian Journal of Organic & Medicinal Chemistry 5, nr 4 (31.12.2020): 307–11. http://dx.doi.org/10.14233/ajomc.2020.ajomc-p280.
Pełny tekst źródłaRybińska-Fryca, Anna, Anita Sosnowska i Tomasz Puzyn. "Representation of the Structure—A Key Point of Building QSAR/QSPR Models for Ionic Liquids". Materials 13, nr 11 (30.05.2020): 2500. http://dx.doi.org/10.3390/ma13112500.
Pełny tekst źródłaPokle, Maithili S., Rashmi D. Singh i Madhura P. Vaidya. "2D QSAR MODEL BASED ON 1,2-DISUBSTITUTED BENZIMIDAZOLES IMPDH INHIBITORS". Indian Drugs 59, nr 04 (1.06.2022): 18–23. http://dx.doi.org/10.53879/id.59.04.13117.
Pełny tekst źródłaBu, Qingwei, Qingshan Li, Yun Liu i Chun Cai. "Performance Comparison between the Specific and Baseline Prediction Models of Ecotoxicity for Pharmaceuticals: Is a Specific QSAR Model Inevitable?" Journal of Chemistry 2021 (31.10.2021): 1–8. http://dx.doi.org/10.1155/2021/5563066.
Pełny tekst źródłaLIAO, SI YAN, LI QIAN, JIN CAN CHEN, YONG SHEN i KANG CHENG ZHENG. "2D/3D-QSAR STUDY ON ANALOGUES OF 2-METHOXYESTRADIOL WITH ANTICANCER ACTIVITY". Journal of Theoretical and Computational Chemistry 07, nr 02 (kwiecień 2008): 287–301. http://dx.doi.org/10.1142/s0219633608003745.
Pełny tekst źródłaZhao, Manman, Lin Wang, Linfeng Zheng, Mengying Zhang, Chun Qiu, Yuhui Zhang, Dongshu Du i Bing Niu. "2D-QSAR and 3D-QSAR Analyses for EGFR Inhibitors". BioMed Research International 2017 (2017): 1–11. http://dx.doi.org/10.1155/2017/4649191.
Pełny tekst źródłaPapa, Ester, Alessandro Sangion, Olivier Taboureau i Paola Gramatica. "Quantitative Prediction of Rat Hepatotoxicity by Molecular Structure". International Journal of Quantitative Structure-Property Relationships 3, nr 2 (lipiec 2018): 49–60. http://dx.doi.org/10.4018/ijqspr.2018070104.
Pełny tekst źródłaVries, D., B. A. Wols i P. de Voogt. "Removal efficiency calculated beforehand: QSAR enabled predictions for nanofiltration and advanced oxidation". Water Supply 13, nr 6 (13.09.2013): 1425–36. http://dx.doi.org/10.2166/ws.2013.109.
Pełny tekst źródłaTosato, Maria Livia, Claudio Chiorboli, Lennart Eriksson, Jorgen Jonsson, Silvia Marchini, Laura Passerini, Anna Pino i Luigi Viganó. "Quantitative Structure—Activity Relationships (QSARs): An Integrated Multivariate Approach for Risk Assessment Studies". Journal of the American College of Toxicology 9, nr 6 (listopad 1990): 629–38. http://dx.doi.org/10.3109/10915819009078768.
Pełny tekst źródłaGombar, Vijay K., Harold H. Borgstedt, Kurt Enslein, Jeffrey B. Hart i Benjamin W. Blake. "A QSAR Model of Teratogenesis". Quantitative Structure-Activity Relationships 10, nr 4 (1991): 306–32. http://dx.doi.org/10.1002/qsar.19910100404.
Pełny tekst źródłaRaevsky, Oleg, Alexei Sapegin i Nikolai Zefirov. "The QSAR Discriminant-Regression Model". QSAR & Combinatorial Science 13, nr 4 (1994): 412–18. http://dx.doi.org/10.1002/qsar.19940130406.
Pełny tekst źródłaKuz’min, Victor E., Anatoly G. Artemenko, Nikolay A. Kovdienko, Igor V. Tetko i David J. Livingstone. "Lattice Model for QSAR Studies". Journal of Molecular Modeling 6, nr 7-8 (sierpień 2000): 517–26. http://dx.doi.org/10.1007/s0089400060517.
Pełny tekst źródłaNAZİB ALİAS, Ahmad, i Zubainun MOHAMED ZABİDİ. "QSAR Studies on Nitrobenzene Derivatives using Hyperpolarizability and Conductor like Screening model as Molecular Descriptors". Journal of the Turkish Chemical Society Section A: Chemistry 9, nr 3 (31.08.2022): 953–68. http://dx.doi.org/10.18596/jotcsa.1083840.
Pełny tekst źródłaT. Stanton, David. "QSAR and QSPR Model Interpretation Using Partial Least Squares (PLS) Analysis". Current Computer Aided-Drug Design 8, nr 2 (1.04.2012): 107–27. http://dx.doi.org/10.2174/157340912800492357.
Pełny tekst źródłaSong, Xiaoying, Gaoya Wen i Li Chai. "Graph signal processing based nonlinear QSAR/QSPR model learning for compounds". Biomedical Signal Processing and Control 91 (maj 2024): 106011. http://dx.doi.org/10.1016/j.bspc.2024.106011.
Pełny tekst źródłaMudasir, Mudasir, Yari Mukti Wibowo i Harno Dwi Pranowo. "Design of New Potent Insecticides of Organophosphate Derivatives Based on QSAR Analysis". Indonesian Journal of Chemistry 13, nr 1 (6.05.2013): 86–93. http://dx.doi.org/10.22146/ijc.21331.
Pełny tekst źródłaBertato, Linda, Nicola Chirico i Ester Papa. "QSAR Models for the Prediction of Dietary Biomagnification Factor in Fish". Toxics 11, nr 3 (23.02.2023): 209. http://dx.doi.org/10.3390/toxics11030209.
Pełny tekst źródłaZhang, Jiaming, Qinqin Liu, Haoxia Zhao, Guiyu Li, Yunpeng Yi i Ruofeng Shang. "Design and Synthesis of Pleuromutilin Derivatives as Antibacterial Agents Using Quantitative Structure–Activity Relationship Model". International Journal of Molecular Sciences 25, nr 4 (13.02.2024): 2256. http://dx.doi.org/10.3390/ijms25042256.
Pełny tekst źródłaGupta, Ashish, Virender Kumar i Polamarasetty Aparoy. "Role of Topological, Electronic, Geometrical, Constitutional and Quantum Chemical Based Descriptors in QSAR: mPGES-1 as a Case Study". Current Topics in Medicinal Chemistry 18, nr 13 (4.10.2018): 1075–90. http://dx.doi.org/10.2174/1568026618666180719164149.
Pełny tekst źródłaRahmouni, Ali, Moufida Touhami i Tahar Benaissa. "Fukui Indices as QSAR Model Descriptors". International Journal of Chemoinformatics and Chemical Engineering 6, nr 2 (lipiec 2017): 31–44. http://dx.doi.org/10.4018/ijcce.2017070103.
Pełny tekst źródłaDiyah, Nuzul Wahyuning, Dhea Ananda Ainurrizma i Denayu Pebrianti. "Design of acyl salicylic acid derivates as COX-1 inhibitors using QSAR approach, molecular docking and QSPR analysis". Pharmacy Education 24, nr 3 (1.05.2024): 88–94. http://dx.doi.org/10.46542/pe.2024.243.8894.
Pełny tekst źródłaHelda Wika Amini, Istiqomah Rahmawati, Rizki Fitria Darmayanti i Boy Arief Fachri. "QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP STUDY OF ESTER-BASED FERULIC ACID DERIVATIVES AGAINST CERVICAL CANCER CELL (HELA)". Journal of Biobased Chemicals 1, nr 1 (5.06.2020): 29–37. http://dx.doi.org/10.19184/jobc.v1i1.109.
Pełny tekst źródłaRakhimbekova, Assima, Timur I. Madzhidov, Ramil I. Nugmanov, Timur R. Gimadiev, Igor I. Baskin i Alexandre Varnek. "Comprehensive Analysis of Applicability Domains of QSPR Models for Chemical Reactions". International Journal of Molecular Sciences 21, nr 15 (3.08.2020): 5542. http://dx.doi.org/10.3390/ijms21155542.
Pełny tekst źródłaZaki, Magdi E. A., Sami A. Al-Hussain, Vijay H. Masand, Siddhartha Akasapu, Sumit O. Bajaj, Nahed N. E. El-Sayed, Arabinda Ghosh i Israa Lewaa. "Identification of Anti-SARS-CoV-2 Compounds from Food Using QSAR-Based Virtual Screening, Molecular Docking, and Molecular Dynamics Simulation Analysis". Pharmaceuticals 14, nr 4 (13.04.2021): 357. http://dx.doi.org/10.3390/ph14040357.
Pełny tekst źródłaXu, Yong-jin, i Hua Gao. "Dimension related distance and its application in QSAR/QSPR model error estimation". QSAR & Combinatorial Science 22, nr 4 (maj 2003): 422–29. http://dx.doi.org/10.1002/qsar.200390032.
Pełny tekst źródłaSharma, M. C., i D. V. Kohli. "DEVELOPMENT OF A ROBUST QSAR MODEL OF ANGIOTENSIN RECEPTOR REVEALS A K NEAREST NEIGHBOR APPLICABLE TO DIVERSE SCAFFOLDS". INDIAN DRUGS 54, nr 06 (28.06.2017): 30–36. http://dx.doi.org/10.53879/id.54.06.10947.
Pełny tekst źródłaSharma, M. C. "A QSAR STUDY OF SUBSTITUTED PYRAZOLINE DERIVATIVES AS POTENTIAL ANTI-TUBERCULOSIS AGENTS". INDIAN DRUGS 54, nr 04 (28.04.2017): 22–31. http://dx.doi.org/10.53879/id.54.04.10781.
Pełny tekst źródłaMatusevičiūtė, Ramona, Eglė Ignatavičiūtė, Rokas Mickus, Sergio Bordel, Vytenis Arvydas Skeberdis i Vytautas Raškevičius. "Evaluation of Cx43 Gap Junction Inhibitors Using a Quantitative Structure-Activity Relationship Model". Biomedicines 11, nr 7 (12.07.2023): 1972. http://dx.doi.org/10.3390/biomedicines11071972.
Pełny tekst źródłaMishra, Durgesh Kumar, Ashutosh Singh, Sunil Mishra, Priti Singh i Abhishek Singh. "PM3 Method based QSAR Study of the Derivatives of Thiadiazole and Quinoxaline for Antiepileptic Activity using Topological Descriptors". Asian Journal of Organic & Medicinal Chemistry 7, nr 1 (2022): 99–110. http://dx.doi.org/10.14233/ajomc.2022.ajomc-p370.
Pełny tekst źródłaChakraborty, Tanmoy, i Dulal C. Ghosh. "Correlation of the Drug Activities of Some Anti-Tubercular Chalcone Derivatives in Terms of the Quantum Mechanical Reactivity Descriptors". International Journal of Chemoinformatics and Chemical Engineering 1, nr 2 (lipiec 2011): 53–65. http://dx.doi.org/10.4018/ijcce.2011070104.
Pełny tekst źródłaNaik, Pradeep Kumar, Afroz Alam, Ashutosh Malhotra i Owasis Rizvi. "Molecular Modeling and Structure-Activity Relationship of Podophyllotoxin and Its Congeners". Journal of Biomolecular Screening 15, nr 5 (10.05.2010): 528–40. http://dx.doi.org/10.1177/1087057110368994.
Pełny tekst źródłaMishra, Puja, Sumit Nandi, Ankit Chatterjee, Tridib Nayek, Souvik Basak, Kumar Halder i Arup Mukherjee. "Development of 2D and 3D QSAR models of pyrazole derivatives as acetylcholine esterase inhibitors". Journal of the Serbian Chemical Society, nr 00 (2024): 39. http://dx.doi.org/10.2298/jsc230221039m.
Pełny tekst źródłaAsgaonkar, K. D., S. M. Patil, T. S. Chitre, S. D. Wani i M. T. Singh. "QSAR tool for optimization of nitrobenzamide pharmacophore for antitubercular activity". Bulletin of the Karaganda University. "Chemistry" series 105, nr 1 (30.03.2022): 60–68. http://dx.doi.org/10.31489/2022ch1/60-68.
Pełny tekst źródłaEdache, Emmanuel Israel, Adamu Uzairu, Paul Andrew Mamza i Gideon Adamu Shallangwa. "A comparative QSAR analysis, 3D-QSAR, molecular docking and molecular design of iminoguanidine-based inhibitors of HemO: A rational approach to antibacterial drug design". Journal of Drugs and Pharmaceutical Science 4, nr 3 (30.08.2020): 21–36. http://dx.doi.org/10.31248/jdps2020.036.
Pełny tekst źródłaSharma, M. C. "QSAR APPROACH TO THE STUDY OF THE EGFR TYROSINE KINASE INHIBITORS: THIAZOLYL-PYRAZOLINE DERIVATIVES". INDIAN DRUGS 54, nr 03 (28.03.2017): 5–12. http://dx.doi.org/10.53879/id.54.03.10739.
Pełny tekst źródłaRaza, Zahid. "Leap Zagreb Connection Numbers for Some Networks Models". Indonesian Journal of Chemistry 20, nr 6 (16.07.2020): 1407. http://dx.doi.org/10.22146/ijc.53393.
Pełny tekst źródłaZavršnik, Davorka, Samija Muratović i Selma Špirtović. "QSAR and QSPR study of derivatives 4-arylaminocoumarin". Bosnian Journal of Basic Medical Sciences 3, nr 3 (20.08.2003): 59–63. http://dx.doi.org/10.17305/bjbms.2003.3531.
Pełny tekst źródłaFaramarzi, Zohreh, Fatemeh Abbasitabar, Jalali Jahromi i Maziar Noei. "New structure-based models for the prediction of normal boiling point temperature of ternary azeotropes". Journal of the Serbian Chemical Society 86, nr 7-8 (2021): 685–98. http://dx.doi.org/10.2298/jsc210218035f.
Pełny tekst źródłaDidziapetris, Remigijus, Kiril Lanevskij i Pranas Japertas. "Trainable QSAR model of Ames genotoxicity". Toxicology Letters 180 (październik 2008): S152—S153. http://dx.doi.org/10.1016/j.toxlet.2008.06.335.
Pełny tekst źródłaNirmalakhandan, Nagamany N., i Richard E. Speece. "QSAR model for predicting Henry's constant". Environmental Science & Technology 22, nr 11 (listopad 1988): 1349–57. http://dx.doi.org/10.1021/es00176a016.
Pełny tekst źródłaAmin, Sk Abdul, Nilanjan Adhikari, Tarun Jha i Shovanlal Gayen. "Exploring structural requirements of unconventional Knoevenagel-type indole derivatives as anticancer agents through comparative QSAR modeling approaches". Canadian Journal of Chemistry 94, nr 7 (lipiec 2016): 637–44. http://dx.doi.org/10.1139/cjc-2016-0050.
Pełny tekst źródłaPandit, Bibhas, Yogesh Vaishnav, Sanjib Bahadur i Trilochan Satapathy. "2D & 3D-QSAR Studies on a Series of Quinoline-Amino-piperidine Derivatives as Potent Mycobacterium DNA-Gyrase-B Inhibitors". International Journal of Pharmaceutical Sciences and Nanotechnology(IJPSN) 16, nr 3 (31.05.2023): 6512–21. http://dx.doi.org/10.37285/ijpsn.2023.16.3.5.
Pełny tekst źródłaEmdeniz. "PENGGUNAAN FRONTIER ORBITAL MOLEKUL SEBAGAI DESKRIPTOR PADA ANALISIS HUBUNGAN KUANTITATIF STRUKTUR AKTIVITAS (HKSA) TOKSIK SENYAWA KHLOROFENOL". Jurnal Riset Kimia 5, nr 2 (15.03.2012): 116. http://dx.doi.org/10.25077/jrk.v5i2.211.
Pełny tekst źródłaTerzioglu, Nalan, i Hans-Dieter Höltje. "Receptor-Based 3D QSAR Analysis of Serotonin 5-HT1D Receptor Agonists". Collection of Czechoslovak Chemical Communications 70, nr 9 (2005): 1482–92. http://dx.doi.org/10.1135/cccc20051482.
Pełny tekst źródłaNasution, Hasmalina, Nur Enizan, Nurlaili Nurlaili i Jufrizal Syahri. "Design of Trolox Compounds as Antioxidant and Their Analysis Using Quantitative Structure Activity Relationship". Acta Chimica Asiana 3, nr 2 (18.10.2020): 181. http://dx.doi.org/10.29303/aca.v3i2.40.
Pełny tekst źródła