update text for design models

Author: markgeejw

source/rest-api/design.rst

@@ -3,11 +3,11 @@ Design
 
 The Design API provided by OpenProtein.ai builds on top of our predictive models to empower you to achieve your protein design goals easily.
 
-Currently, we support the following design algorithms:
+Currently, we support the following design algorithms/models:
 
-- **Genetic Algorithm** - Evolutionary optimization for sequence design using trained ``predictors``
-- **RFdiffusion** - Diffusion-based structure generation for motif scaffolding, binder design, and symmetric assemblies
-- **BoltzGen** - Advanced diffusion model for protein structure and sequence design, supporting protein-ligand complexes, multi-chain assemblies, and cyclic peptides
+- **Genetic Algorithm** - Evolutionary optimization for sequence design using trained `predictors <./predictor.rst>`__.
+- **RFdiffusion** - Diffusion-based structure generation for motif scaffolding, binder design, and symmetric assemblies. `GitHub link <https://github.com/RosettaCommons/RFdiffusion>`__, `Reference <https://www.biorxiv.org/content/10.1101/2022.12.09.519842v1>`__. Licensed under `BSD License <https://github.com/RosettaCommons/RFdiffusion/blob/main/LICENSE>`__.
+- **BoltzGen** - Advanced diffusion model for protein structure and sequence design, supporting protein-ligand complexes, multi-chain assemblies, and cyclic peptides. `GitHub link <https://github.com/HannesStark/boltzgen>`__, `Reference <https://hannes-stark.com/assets/boltzgen.pdf>`__. Licensed under `MIT License <https://choosealicense.com/licenses/mit/>`__.
 
 Endpoints
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