Proteomics Retention Time Prediction

**Context**
Accurate predictions of peptide retention times (RT) in liquid chromatography have many applications in mass spectrometry-based proteomics.
In liquid chromatography-tandem mass spectrometry (LC-MS/MS) based proteomics experiments, peptides are usually separated by liquid chromatography before being introduced into mass spectrometry. The time that records the moment for a peptide eluted from LC and injected into mass spectrometer is referred to retention time (RT). As RT is relied on the physical and chemical properties of a peptide on a certain LC system, it is predictable in theory and reproducible in experiment. RT is not only an experimental data, but would be also a parameter to assist identifying and targeting peptides, and analyzing with data independent acquisition (DIA) in proteomics.

**Task**
The presented dataset contains peptide sequences and their respective retention time.
Your task is to build a model that given *input sequence* accurately predicts the *retention time*.

| Dataset | File Name | Reference
| --- | --- |
| HeLa | mod.txt |Sharma et al.

精确预测液相色谱中肽段保留时间（RT）在基于质谱的蛋白质组学中具有广泛的应用。在基于液相色谱串联质谱（LC-MS/MS）的蛋白质组学实验中，肽段通常在进入质谱之前通过液相色谱进行分离。记录肽段从液相色谱中洗脱并注入质谱仪的时刻被称为保留时间（RT）。由于RT依赖于肽段在特定液相色谱系统中的物理和化学性质，从理论上看是可预测的，在实验中是可重复的。RT不仅是一组实验数据，还将成为辅助识别和靶向肽段，以及在进行蛋白质组学数据独立采集（DIA）分析时的一个参数。**任务**：所提供的数据集包含肽段序列及其相应的保留时间。您的任务是构建一个模型，该模型能够根据*输入序列*准确预测*保留时间*。

| 数据集 | 文件名 | 参考文献
| --- | --- | ---
| HeLa | mod.txt | Sharma 等人。