Add bioRxiv DOI

README.md

@@ -16,8 +16,8 @@ pipeline_tag: feature-extraction
 
 # dtSFM-v3 — Drug–Target Specificity Foundation Model (production encoder + generative decoder)
 
-**Paper:** *A drug–target specificity foundation model for off-target prediction, repurposing, and generative design* · doi: PENDING
-**Code:** [github.com/SFM-BIIE-ETHZ/dtSFM](https://github.com/SFM-BIIE-ETHZ/dtSFM)
+**Paper:** *A drug–target specificity foundation model for off-target prediction, repurposing, and generative design* · doi: 10.64898/2026.06.08.730844
+**Code:** [github.com/Reddy-BIIE-ETHZ/dtSFM](https://github.com/Reddy-BIIE-ETHZ/dtSFM)
 **All SFM models:** [huggingface.co/SFM-BIIE-ETHZ](https://huggingface.co/SFM-BIIE-ETHZ)
 
 > This is the **production dtSFM** (v3): a full-scale cross-attention encoder paired with a
@@ -81,7 +81,7 @@ dec = CALMDecoderV3.from_pretrained(
 smiles = dec.generate(target_sequence="MTEYKLVVVGAGG...", n=100, temperature=0.8)
 ```
 
-Install the codebase from [github.com/SFM-BIIE-ETHZ/dtSFM](https://github.com/SFM-BIIE-ETHZ/dtSFM)
+Install the codebase from [github.com/Reddy-BIIE-ETHZ/dtSFM](https://github.com/Reddy-BIIE-ETHZ/dtSFM)
 (`conda env create -f environment.yml`).
 
 ---
@@ -103,7 +103,7 @@ Binder gate: iPTM ≥ 0.7 AND interface-PAE ≤ 5 Å. Anchor-grade gate: iPTM
   author  = {Reddy, Sai T.},
   journal = {bioRxiv},
   year    = {2026},
-  doi     = {PENDING}
+  doi     = {10.64898/2026.06.08.730844}
 }
 ```