Baseline model runs along with detailed result files presented in "pepMTL"

Within Article "pepMTL: a synchronous multi-properties predictor for peptides enabled by multi-task framework and pre-trained protein language model", there exists a collection of executable files and detailed records of the operation results pertaining to the pepMTL model along with several benchmark models in the context of Retention Time (RT), Collision Cross Section (CCS), and Tandem Mass Spectrometry (MS/MS) methodologies. This compendium encompasses the source code for both the benchmark models and the pepMTL model itself—altered as necessary to accommodate the benchmark datasets—the specific datasets designed to execute these models effectively, the raw output files resulting from three parallel runs of each model, and corresponding log files meticulously documenting the execution history. Readers can garner extensive raw data concerning the direct comparisons between the pepMTL model and the array of benchmark models across the RT, CCS, and MS/MS domains as presented in the article. Furthermore, they have the ability to retrain these benchmark models on the designated datasets using the optimized code provided by the authors.<br>这是文章 "pepMTL: a synchronous multi-properties predictor for peptides enabled by multi-task framework and pre-trained protein language model"中,pepMTL模型以及RT、CCS、MS/MS方面各个基准模型的运行文件以及详细运行结果的记录文件。该文件中包含了各个基准模型以及pepMTL模型运行的代码(有必要的话会经过作者的修改以适应基准数据集)、适应模型运行的基准数据集、模型平行运行三次后产生的原始结果文件以及运行日志记录文件。读者可以从这些数据中获取文章中关于pepMTL在RT、CCS、MS/MS方面与各个基准模型进行对比的详细原始信息,并可以通过运行作者优化后的代码将这些基准模型在基准数据集上进行模型训练。