You are presented with a paragraph from a COVID-19 literature. Classify the topics of this piece of text by choosing from the following categories:

- Epidemic Forecasting: The content relates to predictions about the spread of COVID-19.
- Treatment: The paragraph discusses therapeutic methods or medication for COVID-19.
- Prevention: The content covers measures to prevent the spread of COVID-19.
- Mechanism: The paragraph explains the biological mechanisms of the virus.
- Case Report: The content is a report of a COVID-19 case.
- Transmission: The paragraph discusses how COVID-19 is transmitted.
- Diagnosis: The content is about diagnosing COVID-19 in individuals.

Your classification should be provided as an element within a JSON array. The array should be formatted with topics enclosed in double quotes and separated by commas, following the JSON format, for example: ["Topic1", "Topic2", ...]. Include all applicable topics within the array. Your output should be a valid JSON array, and no additional text should be included in your response.

Article:

Leucoefdin an important constituent of various fruits such as banana, raspberry, etc. was explored to target M(Pro) protease of SARS Co-V 2. Ligand was found to bind at active site of M(Pro) with large negative binding energies in molecular docking and simulation study. The docking results showed that Leucoefdin interacted with the M(Pro) by forming hydrogen bonds, at Leu 141, His163, His 164, and Glu 166. Other non-bonded interactions were seen at Met49, Pro52, Tyr54, Phe140, Leu141, Cys145 and Met165. Results of Leucoefdin was in coherence with the recently reported M(Pro) protease-inhibitor complex. It even displayed better binding energies (kcal/mol) in HTVS (-6.28), SP (-7.28), XP (-9.29) and MMGBSA (-44.71) as compared to the reference ligand [HTVS (-4.87), SP (-6.79), XP (-5.75) and MMGBSA (-47.76)]. Leucoefdin-M(Pro) complex on molecular dynamic simulation showed initial fluctuations in RMSD plot for a certain period and attained equilibrium which remained stable during entire simulation for 150 ns. RMSF of protein showed less secondary structure fluctuations and a greater number of H-bond formation with Leucoefdin during 150 ns simulation. Post simulation MMGBSA analysis showed binding energy of -45.98 Kcal/mol. These findings indicated the potential of Leucoefdin as lead compound in R&D for drug discovery and development against SARS CoV-2.Communicated by Ramaswamy H. Sarma.
["Mechanism", "Treatment"]