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: ["Protein", "Chemical"].

Please return the output as a JSON object of the format: {"Chemical" : ["Dexamethasone", ...], "Protein" : ["BRCA-1", ...]}. 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:

Caffeine inhibits the checkpoint kinase ATM.
The basis of many anti-cancer therapies is the use of genotoxic agents that damage DNA and thus kill dividing cells. Agents that cause cells to override the DNA-damage checkpoint are predicted to sensitize cells to killing by genotoxic agents. They have therefore been sought as adjuncts in radiation therapy and chemotherapy. One such compound, caffeine, uncouples cell-cycle progression from the replication and repair of DNA [1] [2]. Caffeine therefore servers as a model compound in establishing the principle that agents that override DNA-damage checkpoints can be used to sensitize cells to the killing effects of genotoxic drugs [3]. But despite more than 20 years of use, the molecular mechanisms by which caffeine affects the cell cycle and checkpoint responses have not been identified. We investigated the effects of caffeine on the G2/M DNA-damage checkpoint in human cells. We report that the radiation-induced activation of the kinase Cds1 [4] (also known as Chk2 [5]) is inhibited by caffeine in vivo and that ATM kinase activity is directly inhibited by caffeine in vitro. Inhibition of ATM provides a molecular explanation of the attenuation of DNA-damage checkpoint responses and for the increased radiosensitivity of caffeine-treated cells [6] [7] [8].
{"Chemical": ["caffeine", "Caffeine"], "Protein": ["Chk2", "ATM", "kinase", "Cds1"]}