Penicinoline

Penicinoline

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Penicinoline
Category Enzyme inhibitors
Catalog number BBF-05249
CAS 1214268-60-6
Molecular Weight 254.24
Molecular Formula C14H10N2O3
Purity >95% by HPLC

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Description

Penicinoline, an unusual quinolinone alkaloid isolated from Penicillium, has anti-malarial, insecticidal and anticancer activities. It inhibits proliferation of 95-D and HepG2 cancer cells but not HeLa, KB, KBv200 or Hep-2 cells.

Specification

Synonyms 3-carboxylic acid-2-pyrrole-4-quinolinone; 1,4-dihydro-4-oxo-2-(1H-pyrrol-2-yl)-3-quinolinecarboxylic acid; 2-(1H-Pyrrole-2-yl)-4-oxo-1,4-dihydroquinoline-3-carboxylic acid; marinamide; 4-oxo-2-(1H-pyrrol-2-yl)-1,4-dihydroquinoline-3-carboxylic acid
Storage Store at -20°C
IUPAC Name 4-oxo-2-(1H-pyrrol-2-yl)-1H-quinoline-3-carboxylic acid
Canonical SMILES C1=CC=C2C(=C1)C(=O)C(=C(N2)C3=CC=CN3)C(=O)O
InChI InChI=1S/C14H10N2O3/c17-13-8-4-1-2-5-9(8)16-12(11(13)14(18)19)10-6-3-7-15-10/h1-7,15H,(H,16,17)(H,18,19)
InChI Key DWKAQISLZUQZNU-UHFFFAOYSA-N

Properties

Appearance Solid
Antibiotic Activity Spectrum Neoplastics (Tumor); Parasites
Boiling Point 475.2±45.0°C at 760 mmHg
Melting Point 350-352°C
Density 1.5±0.1 g/cm3
Solubility Soluble in DMF, DMSO, Ethanol, Methanol

Reference Reading

1. Pyrrolyl 4-quinolone alkaloids from the mangrove endophytic fungus Penicillium steckii SCSIO 41025: Chiral resolution, configurational assignment, and enzyme inhibitory activities
Chun-Mei Chen, Wei-Hao Chen, Xiao-Yan Pang, Sheng-Rong Liao, Jun-Feng Wang, Xiu-Ping Lin, Bin Yang, Xue-Feng Zhou, Xiao-Wei Luo, Yong-Hong Liu Phytochemistry. 2021 Jun;186:112730. doi: 10.1016/j.phytochem.2021.112730. Epub 2021 Mar 16.
Six undescribed 4-quinolone alkaloids, including four racemic mixtures, (±)-oxypenicinolines A-D, and two related ones, penicinolines F and G, together with seven known analogues, were isolated from the mangrove-derived fungus Penicillium steckii SCSIO 41025 (Trichocomaceae). The racemates were separated by HPLC using chiral columns. Their structures including absolute configurations were elucidated by extensive spectroscopic analysis, electronic circular dichroism (ECD) experiments, and single-crystal X-ray diffraction analysis. Structurally, (±)-oxypenicinolines A-D shared with an unusual 6/6/5/5 tetracyclic system incorporating a rare tetrahydro-pyrrolyl moiety. A plausible biosynthetic pathway for pyrrolyl 4-quinolone alkaloids is proposed. (±)-oxypenicinoline A and quinolactacide displayed α-glucosidase inhibitory activity with the IC50 values of 317.8 and 365.9 μΜ, respectively, which were more potent than that of acarbose (461.0 μM). Additionally, penicinoline and penicinoline E showed weak inhibitions toward acetylcholinesterase (AChE).
2. Unusual pyrrolyl 4-quinolinone alkaloids from the marine-derived fungus Penicillium sp. ghq208
Huquan Gao, Lianqing Zhang, Tianjiao Zhu, Qianqun Gu, Dehai Li Chem Pharm Bull (Tokyo). 2012;60(11):1458-60. doi: 10.1248/cpb.c12-00487. Epub 2012 Sep 4.
One new pyrrolyl 4-quinolinone alkaloid, penicinoline E (1), together with three known deriverites, methyl-penicinoline (2), penicinoline (3), and quinolactacide (4), were isolated from the marine-derived fungus Penicillium sp. ghq208. The structures of these isolated compounds were elucidated by spectroscopic methods. Compounds (2, 3) exhibited moderate cytotoxicities against the HepG2 cell line with IC(50) values of 11.3 and 13.2 µM, respectively.
3. Virtual screening of natural compounds as inhibitors of EGFR 696-1022 T790M associated with non-small cell lung cancer
Mahesha Nand, Priyanka Maiti, Ragini Pant, Madhulata Kumari, Subhash Chandra, Veena Pande Bioinformation. 2016 Oct 10;12(6):311-317. doi: 10.6026/97320630012311. eCollection 2016.
Non-small cell lung cancer (NSCLC) is the most dominating and lethal type of lung cancer triggering more than 1.3 million deaths per year. The most effective line of treatment against NSCLC is to target epidermal growth factor receptor (EGFR) activating mutation. The present study aims to identify the novel anti-lung cancer compounds form nature against EGFR 696-1022 T790M by using in silico approaches. A library of 419 compounds from several natural resources was subjected to pre-screen through machine learning model using Random Forest classifier resulting 63 screened molecules with active potential. These molecules were further screened by molecular docking against the active site of EGFR 696-1022 T790M protein using AutoDock Vina followed by rescoring using X-Score. As a result 4 compounds were finally screened namely Granulatimide, Danorubicin, Penicinoline and Austocystin D with lowest binding energy which were -6.5 kcal/mol, -6.1 kcal/mol, -6.3 kcal/mol and -7.1 kcal/mol respectively. The drug likeness of the screened compounds was evaluated using FaF-Drug3 server. Finally toxicity of the hit compounds was predicted in cell line using the CLC-Pred server where their cytotoxic ability against various lung cancer cell lines was confirmed. We have shown 4 potential compounds, which could be further exploited as efficient drug candidates against lung cancer.

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