In this task, you're given a paragraph from the research paper and your task is to generate a suitable title for the research paper based on the given paper. Under 100 words is a good title length.

Ex Input:
We utilized one-step multiplex reverse transcription-PCR (RT-PCR) and Luminex xMAP technology to develop a respiratory multiplex liquid-chip assay (rMLA) for China, Middle East Respiratory Syndrome coronavirus (MERS-CoV). Performance of rMLA was evaluated by comparing with real-time RT-PCR. Detection data from clinical specimens showed that the rMLA had diagnostic sensitivities of 97.10% for FluA, 94.59% for FluB, 98.68% for PIV-3, 94.87% for RSV and 95.92% for MPV (No Data for MERS-CoV due to the lack of positive specimens). Data of analytical sensitivities showed that the detection limits of the rMLA assay were 5-25 viral RNA copies per μl for FluA, FluB, PIV-3 and MERS-CoV, approximate to the real-time RT-PCR assay; while the values were 8 and 22copies/μl for MPV and RSV, lower than the real-time RT-PCR(78 and 114 copies/μl respectively). The results indicated that the rMLA is a sensitive, specific detection tool and comparable to real-time RT-PCR, especially suitable for high-throughput detection of respiratory specimens.

Ex Output:
A multiplex liquid-chip assay based on Luminex xMAP technology for simultaneous detection of six common respiratory viruses


Ex Input:
The class I major histocompatibility complex (MHC) is capable of binding peptides derived from intracellular proteins and displaying them at the cell surface. The recognition of these peptide-MHC (pMHC) complexes by T-cells is the cornerstone of cellular immunity, enabling the elimination of infected or tumoral cells. T-cell-based immunotherapies against cancer, which leverage this mechanism, can greatly benefit from structural analyses of pMHC complexes. Several attempts have been made to use molecular docking for such analyses, but pMHC structure remains too challenging for even state-of-the-art docking tools. To overcome these limitations, we describe the use of an incremental meta-docking approach for structural prediction of pMHC complexes. Previous methods applied in this context used specific constraints to reduce the complexity of this prediction problem, at the expense of generality. Our strategy makes no assumption and can potentially be used to predict binding modes for any pMHC complex. Our method has been tested in a re-docking experiment, reproducing the binding modes of 25 pMHC complexes whose crystal structures are available. This study is a proof of concept that incremental docking strategies can lead to general geometry prediction of pMHC complexes, with potential applications for immunotherapy against cancer or infectious diseases.

Ex Output:
General Prediction of Peptide-MHC Binding Modes Using Incremental Docking: A Proof of Concept


Ex Input:
Dicer Dicer is an endoribonuclease member of RNase III family encoded by dicer gene, which has the function of cleaving long double-stranded RNA or pre-miRNA into siRNA or miRNA that are in 20-25 base pairs length with 2 nt overhangs at 3 0 ends. MicroRNA (miRNA) miRNA is a kind of 22 nt small non-coding RNA fragments discovered in viruses, plants, animals and human, which have the functions of post-transcriptional regulation in gene expression. p19 protein Plant tombusvirus 19 kDa protein (p19) is an RNA silencing suppressor protein. p19 selectively binds to exactly matched, double-stranded antiviral siRNAs of 21 nt, but not to imperfectly paired miRNAs, ssRNAs or other dsRNAs. Prokaryotic siRNA (pro-siRNA) Pro-siRNA are bacterial RNase III products that have chemical and functional properties similar to eukaryotic siRNAs. Ribonucleic acid (RNA) RNA is a linear molecule composed of four types of smaller molecules called ribonucleotide bases: adenine (A), cytosine (C), guanine (G), and uracil (U). Comprehensive Biotechnology, 3rd edition, Volume 5

Ex Output:

The Discovery of RNAi 561 5.42.2 Mechanism of RNA Interference 562 5.42.3 RNAi Screening 567 5.42.5 Technical Considerations for Using RNAi Technology 568 5