In this task, you are given a paragraph (from a research paper) and your task is to classify each sentence of the paragraph (assume n sentence) into the following categories: Background, Purpose, Method, Finding/Contribution, or Other. Return the output in this format: 1 - category of sentence 1, 2 - category of sentence 2, ..., n - category of sentence n; where each number indicates the order of the sentence. The categories can be identified using the following questions:
Background: - Why is this problem important? - What relevant works have been done before? - What did the previous works miss? - What are the high-level research questions? - How might this help other researchers?
Purpose: - What specific things do the researchers want to do? - What specific knowledge do the researchers want to know? - What specific hypothesis do the researchers want to test?
Method: - How did the researchers do it or find it out? - What are the procedures and steps of this research?
Finding/Contribution: - What did the researchers find out? Did the proposed methods work? - Did things behave as the researchers expected?
Other: put every text fragment that does not fit into any of the categories above here. Put a sentence here if its not in English, is not part of the article, contains numbers and dates, is a caption of a figure or a table, is a formatting error, or you are not sure about it.

[EX Q]: Bats have been widely known as natural reservoir hosts of zoonotic diseases, such as severe acute respiratory syndrome (SARS) and Middle East respiratory syndrome (MERS) caused by coronaviruses (CoVs). In the present study, we investigated the whole genomic sequence of a SARS-like bat CoV (16BO133) and found it to be 29,075 nt in length with a 40.9% G+C content. Phylogenetic analysis using amino acid sequences of the ORF 1ab and the spike gene showed that the bat coronavirus strain 16BO133 was grouped with the Beta-CoV lineage B and was closely related to the JTMC15 strain isolated from Rhinolophus ferrumequinum in China. However, 16BO133 was distinctly located in the phylogenetic topology of the human SARS CoV strain (Tor2). Interestingly, 16BO133 showed complete elimination of ORF8 regions induced by a frame shift of the stop codon in ORF7b. The lowest amino acid identity of 16BO133 was identified at the spike region among various ORFs. The spike region of 16BO133 showed 84.7% and 75.2% amino acid identity with Rf1 (SARS-like bat CoV) and Tor2 (human SARS CoV), respectively. In addition, the S gene of 16BO133 was found to contain the amino acid substitution of two critical residues (N479S and T487 V) associated with human infection. In conclusion, we firstly carried out whole genome characterization of the SARS-like bat coronavirus discovered in the Republic of Korea; however, it presumably has no human infectivity. However, continuous surveillance and genomic characterization of coronaviruses from bats are necessary due to potential risks of human infection induced by genetic mutation.
[EX A]: 1 - background, 2 - background, 3 - method, 4 - finding, 5 - finding, 6 - finding, 7 - finding, 8 - finding, 9 - finding, 10 - finding, 11 - finding, 12 - finding

[EX Q]: The spike protein of Porcine epidemic diarrhea virus is the main surface glycoprotein involved in virus attachment and entry and therefore is the target of neutralizing antibodies. Here, the immunogenicity of a novel antigenic domain found on the carboxy-terminal of the spike protein characterized by the peptide motif GPRLQPY, was evaluated. A synthetic peptide whose linear sequence is identical to the 24 a.a. carboxy-terminal portion of the spike protein (S-CT24) elicited a strong antibody response in BALB/c mice that had specific reactivity against the S-CT24 and PEDV. These antibodies were shown to have a specific affinity to the GPRLQPY motif, as demonstrated by non-reactivity with a peptide that lacks this motif. In addition, antiS-CT24 antibodies exhibited neutralizing activities against KPEDV-9 in focus reduction neutralization tests suggesting that the GPRLQPY motif induces neutralizing antibodies against PEDV.
[EX A]: 1 - background, 2 - method, 3 - finding, 4 - finding, 5 - finding, 6 - finding

[EX Q]: Direct-acting antivirals are effective tools to control viral infections. SARS-CoV-2 is a coronavirus associated with the epidemiological outbreak in late 2019. Previous reports showed that HIV-1 protease inhibitors could block SARS-CoV main protease. Based on that and using an in silico approach, we evaluated SARS-CoV-2 main protease as a target for HIV-1 protease inhibitors to reveal the structural features related to their antiviral effect. Our results showed that several HIV inhibitors such as lopinavir, ritonavir, and saquinavir produce strong interaction with the active site of SARS-CoV-2 main protease. Furthermore, broad library protease inhibitors obtained from PubChem and ZINC (www.zinc.docking.org) were evaluated. Our analysis revealed 20 compounds that could be clustered into three groups based on their chemical features. Then, these structures could serve as leading compounds to develop a series of derivatives optimizing their activity against SARS-CoV-2 and other coronaviruses. Altogether, the results presented in this work contribute to gain a deep understanding of the molecular pharmacology of SARS-CoV-2 treatment and validate the use of protease inhibitors against SARS-CoV-2.
[EX A]:
1 - background, 2 - background, 3 - background, 4 - background, 5 - finding, 6 - finding, 7 - finding, 8 - finding, 9 - finding, 10 - finding, 11 - finding