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Citation Index - Chemical Informatics [16 Articles]

The articles published in Chemical Informatics have been cited 16 times by eminent researchers all around the world. Following is the list of articles that have cited the articles published in Chemical Informatics.

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    Glossman-Mitnik D (2016) Cheminformatics to Prompt the Process of Drug Discovery. Chem Inform 2: 2.

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    Glossman-Mitnik D (2016) Cheminformatics to Prompt the Process of Drug Discovery. Chem Inform 2: 2.

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    Glossman-Mitnik D (2016) Cheminformatics to Prompt the Process of Drug Discovery. Chem Inform 2: 2.

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    Forfar LC, Murray PM. Meeting Metal Limits in Pharmaceutical Processes.

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    Teng SY, How BS, Leong WD, Teoh JH, Cheah AC, et al (2019). Principal component analysis-aided statistical process optimisation (PASPO) for process improvement in industrial refineries. J Cleaner Prod. 359-375.

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    Pawar G, Madden JC, Ebbrell D, Firman JW, Cronin MT (2019). In Silico Toxicology Data Resources to Support Read-Across and (Q) SAR. Frontiers in Pharmac. 10.

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    Hanley QS(2019). the Distribution of standard Deviations Applied to High throughput screening. Scientific reports. 9(1):1268.

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    Vu O, Mendenhall J, Altarawy D, Meiler J (2019) . BCL:: Mol2D—a robust atom environment descriptor for QSAR modeling and lead optimization. Journal of computer-aided molecular design.33(5):477-486.

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    Ravoof TB, Crouse KA, Tiekink ER, Tahir MI, Yusof EM, et al (2017). Synthesis, characterisation and biological activities of S-2-or S-4-methylbenzyl-β-N-(di-2-pyridyl) methylenedithiocarbazate and Cu (II), Ni (II), Zn (II) and Cd (II) complexes. Polyhedron. 133:383-92.

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    Muttaqin SS, Maji JS (2018). Screening of Oxamic Acid Similar 3D Structures as Candidate Inhibitor Plasmodium falciparum L-Lactate Dehydrogenase of Malaria Through Molecular Docking. In2018 1st International Conference on Bioinformatics, Biotechnology, and Biomedical Engineering-Bioinformatics and Biomedical Engineering . 1, pp. 1-6. IEEE.

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    Glossman-Mitnik D (2016). Cheminformatics to Prompt the Process of Drug Discovery. Chem Inform. 2:2.

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    Rath EC, Gill H, Bai Y (2017). Identification of potential antimicrobials against Salmonella typhimurium and Listeria monocytogenes using Quantitative Structure-Activity Relation modeling. PloS one.12(12):e0189580.

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    Gramatica P, Chirico N, Papa E, Kovarich S, Cassani SQ. QSARINS (QSAR-INSubria).

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    Rath EC. Prevention of Common Pathogens: Development of QuantitativeStructural Activity Relationships for Quaternary Ammonium Compounds againstFoodborne Pathogens and a Computational Analysis of Intergenic sRNA in Streptococcus pyogenes (Doctoral dissertation, Indiana State University).

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    Gramatica P, Chirico N, Papa E, Kovarich S, Cassani SQ. Software for QSAR MLR model development and validation.

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    Glossman-Mitnik D (2016). Cheminformatics to Prompt the Process of Drug Discovery. Chem Inform.2:2.

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Abstracted/Indexed in
  • Chemical Abstracts Service (CAS)
  • Index Copernicus
  • Google Scholar
  • China National Knowledge Infrastructure (CNKI)
  • Directory of Research Journal Indexing (DRJI)
  • WorldCat
  • Geneva Foundation for Medical Education and Research
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