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:

N-Alkylated 2,3,3-trimethylindolenines and 2-methylbenzothiazoles. Potential lead compounds in the fight against Saccharomyces cerevisiae infections. The synthesis of a variety of N-alkylated 2,3,3-trimethylindolenines and 2-methylbenzothiazoles is reported herein. Their potential as antifungal agents is evaluated by preliminary screening against Saccharomyces cerevisiae (S. cerevisiae), Schizosaccharomyces pombe (S. pombe), and Candida albicans (C. albicans). Statistical analyses illustrate a strong relationship between chain length and growth inhibition for S. cerevisiae and S. pombe (p < 0.0001 in every case). Of particular interest is the activity of both sets of compounds against S. cerevisiae, as this is emerging as an opportunistic pathogen, especially in immunosuppressed and immunocompromised patients. Bioassays were set up to compare the efficacy of our range of N-alkylated compounds against classic antifungal agents; Amphotericin B and Thiabendazole.
{"Chemical": ["2-methylbenzothiazoles", "N-alkylated 2,3,3-trimethylindolenines", "N", "Amphotericin B", "Thiabendazole", "N-Alkylated 2,3,3-trimethylindolenines"]}