vote for new projects: Uni-Mol

Author: likefallwind

votes/vote4Uni_mol.md

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+# A Vote for New Projects:  Uni-Mol
+
+## Proposal
+
+Uni-Mol is a universal 3D molecular pretraining framework that offers a significant expansion of representation capacity and application scope in drug design. The framework comprises two models: a molecular pretraining model that has been trained using 209M molecular 3D conformations, and a pocket pretraining model that has been trained using 3M candidate protein pocket data. These two models can be used independently for different tasks and are combined for protein-ligand binding tasks. Uni-Mol has demonstrated superior performance compared to the state-of-the-art (SOTA) in 14 out of 15 molecular property prediction tasks. Moreover, Uni-Mol has achieved exceptional accuracy in 3D spatial tasks, such as protein-ligand binding pose prediction and molecular conformation generation.
+
+For more information, see the [original repository](https://github.com/zdcao121/CrystalFormer](https://github.com/dptech-corp/Uni-Mol))
+
+## Deadline
+
+The vote will be open for at least 6 days unless there is an objection.
+
+## Scope
+
+TOC MEMBERS.
+
+## Result: