Signal Peptide Efficiency: From High-Throughput Data to Prediction and Explanation

Related articles

1. Benchmarking AlphaFold3-like Methods for Protein-Peptide Complex Prediction

   This article has 13 authors:

   1. Fan Zhou
   2. Shangwei Guo
   3. Xiangda Peng
   4. Shuhan Zhang
   5. Cuicui Men
   6. Xiaobo Duan
   7. Guoliang Zhu
   8. Zechen Wang
   9. Weifeng Li
   10. Yuguang Mu
   11. Liangzhen Zheng
   12. Haibin Liu
   13. Sheng Wang

2. PepPCBench is a Comprehensive Benchmark for Protein-Peptide Complex Structure Prediction with AlphaFold3

   This article has 10 authors:

   1. Silong Zhai
   2. Huifeng Zhao
   3. Jike Wang
   4. Shaolong Lin
   5. Tiantao Liu
   6. Dejun Jiang
   7. Huanxiang Liu
   8. Yu Kang
   9. Xiaojun Yao
   10. Tingjun Hou

3. Improved Prediction of Bacterial Type VI Secretion Effector Proteins Using an Integrated Convolutional Neural Network Model Combining N-terminal Signal Sequences, Evolutionary Information and Pre-Trained Protein Language Features

   This article has 16 authors:

   1. Yueming Hu
   2. Minqing Yan
   3. Yanyan Zhu
   4. Haoyu Chao
   5. Sida Li
   6. Qinyang Ni
   7. Yanshi Hu
   8. Enyan Liu
   9. Liya Liu
   10. Yifan Chen
   11. Zeya Zhou
   12. Yuhao Chen
   13. Shilong Zhang
   14. Yejun Wang
   15. Cong Feng
   16. Ming Chen