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:

Synthesis and biological evaluation of tricyclic guanidine analogues of batzelladine K for antimalarial, antileishmanial, antibacterial, antifungal, and anti-HIV activities. Fifty analogues of batzelladine K were synthesized and evaluated for in vitro antimalarial (Plasmodium falciparum), antileishmanial (Leishmania donovani), antimicrobial (panel of bacteria and fungi), antiviral (HIV-1) activities. Analogues 14h and 20l exhibited potential antimalarial activity against chloroquine-sensitive D6 strain with IC(50) 1.25 and 0.88 μM and chloroquine-resistant W2 strain with IC(50) 1.64 and 1.07 μM, respectively. Analogues 12c and 14c having nonyl substitution showed the most potent antileishmanial activity with IC(50) 2.39 and 2.78 μM and IC(90) 11.27 and 12.76 μM, respectively. Three analogues 12c, 14c, and 14i were the most active against various pathogenic bacteria and fungi with IC(50) < 3.02 μM and MIC/MBC/MFC <6 μM. Analogue 20l having pentyl and methyl substituents on tricycle showed promising activities against all pathogens. However, none was found active against HIV-1. Our study demonstrated that the tricyclic guanidine compounds provide new structural class for broad spectrum activity.
{"Chemical": ["batzelladine K", "chloroquine", "pentyl", "nonyl", "tricyclic guanidine", "methyl"]}