You will be shown an abstract from a biomedical research paper. Given this abstract, your task is to extract all unique entities of the following types: ["Chemical"].

Please return the output as a JSON object of the format: {"Chemical": ["Arsenic", ...]}. The keys should be entity types and values should be lists of extracted entities belonging to the corresponding type. If you cannot find entities belonging to a specific type, the value should be [].

Only output the JSON object and do not include any additional text.

Abstract:

Nonclassical antifolates, part 3: Synthesis, biological evaluation and molecular modeling study of some new 2-heteroarylthio-quinazolin-4-ones. A new series of 2-heteroarylthio-6-substituted-quinazolin-4-one analogs was designed, synthesized, and evaluated for their in vitro DHFR inhibition, antimicrobial, and antitumor activities. Compounds 21, 25, and 39 proved to be active DHFR inhibitors with IC50 range of 0.3-0.8 μM. Compounds 25, 28, 33, 35 and 36 showed broad spectrum antimicrobial activity comparable to the known antibiotic gentamicin. Compound 29 showed broad spectrum antitumor activity toward several tumor cell lines with GI values range of 25.8-41.2%. Molecular modeling studies concluded that recognition with key amino acid Arg38 and Lys31 are essential for binding and biological activities. Flexible alignment; electrostatic and hydrophobic mappings revealed that the obtained model could be useful for the development of new DHFR inhibitors.
{"Chemical": ["2-heteroarylthio-quinazolin-4-ones", "gentamicin", "Arg", "2-heteroarylthio-6-substituted-quinazolin-4-one", "amino acid", "Lys"]}