Update README.md

README.md

@@ -1,36 +1,47 @@
----
-license: apache-2.0
-task_categories:
-- text-classification
-tags:
-- protein
-- downstream task
----
-
-# ProtSolM PDB Dataset (PDBSol)
-
-- Description: Solubility is a fundamental protein property that has important connotations for therapeutics and use in diagnosis.
-- Number of labels: 2
-- Problem Type: single_label_classification
-- Columns:
-  - aa_seq: protein amino acid sequence
-  - detail: meta information
-
-# Github
-
-ProtSolM: Protein Solubility Prediction with Multi-modal Features
-
-https://github.com/tyang816/ProtSolM
-
-# Citation
-Please cite our work if you use our dataset.
-```
-@inproceedings{tan2024protsolm,
-  title={Protsolm: Protein solubility prediction with multi-modal features},
-  author={Tan, Yang and Zheng, Jia and Hong, Liang and Zhou, Bingxin},
-  booktitle={2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)},
-  pages={223--232},
-  year={2024},
-  organization={IEEE}
-}
+---
+license: apache-2.0
+task_categories:
+- text-classification
+tags:
+- protein
+- downstream task
+---
+
+# ProtSolM PDB Dataset (PDBSol)
+
+- Description: Solubility is a fundamental protein property that has important connotations for therapeutics and use in diagnosis.
+- Number of labels: 2
+- Problem Type: single_label_classification
+- Columns:
+  - aa_seq: protein amino acid sequence
+  - detail: meta information
+
+# Github
+
+ProtSolM: Protein Solubility Prediction with Multi-modal Features
+
+https://github.com/tyang816/ProtSolM
+
+VenusFactory: A Unified Platform for Protein Engineering Data Retrieval and Language Model Fine-Tuning
+
+https://github.com/ai4protein/VenusFactory
+
+# Citation
+Please cite our work if you use our dataset.
+```
+@inproceedings{tan2024protsolm,
+  title={Protsolm: Protein solubility prediction with multi-modal features},
+  author={Tan, Yang and Zheng, Jia and Hong, Liang and Zhou, Bingxin},
+  booktitle={2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)},
+  pages={223--232},
+  year={2024},
+  organization={IEEE}
+}
+
+@article{tan2025venusfactory,
+  title={VenusFactory: A Unified Platform for Protein Engineering Data Retrieval and Language Model Fine-Tuning},
+  author={Tan, Yang and Liu, Chen and Gao, Jingyuan and Wu, Banghao and Li, Mingchen and Wang, Ruilin and Zhang, Lingrong and Yu, Huiqun and Fan, Guisheng and Hong, Liang and Zhou, Bingxin},
+  journal={arXiv preprint arXiv:2503.15438},
+  year={2025}
+}
 ```