adding short model card

README.md

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----
-license: mit
----
+---
+license: mit
+tags:
+  - biology
+  - chemistry
+  - protein-structure
+  - binding-affinity
+  - drug-discovery
+  - biomolecular-modeling
+  - boltz
+  - boltz-2
+  - deep-learning
+  - structural-biology
+---
+
+# Boltz-2: Accurate and Efficient Biomolecular Interaction Prediction
+
+**Boltz-2** is an open-source deep learning model for biomolecular interaction prediction, developed by researchers at MIT and Recursion. It extends the capabilities of its predecessor, Boltz-1, by jointly modeling complex 3D structures and binding affinities, achieving near-physics-based accuracy while operating approximately 1000 times faster than traditional methods. This advancement makes accurate *in silico* screening practical for early-stage drug discovery.
+
+## 🧬 Model Overview
+
+Boltz-2 is designed to predict:
+
+- **3D structures** of biomolecular complexes, including proteins, RNA, DNA, and small molecules.
+- **Binding affinities**, providing insights into molecular interactions critical for drug design.
+
+Key features:
+
+- **Joint Modeling**: Simultaneously predicts structural conformations and binding affinities.
+- **Speed and Efficiency**: Achieves near-free energy perturbation (FEP) accuracy with significantly reduced computational requirements.
+- **Open-Source**: Released under the MIT license, encouraging both academic and commercial use.