diff --git a/docs/templates/using.md b/docs/templates/using.md
index bc81649..7c62f8e 100644
--- a/docs/templates/using.md
+++ b/docs/templates/using.md
@@ -2,7 +2,7 @@ Kipoi offers a set of postprocessing tools that enable to calculate variant effe
 activation of hidden model layers and to calculate the gradient of layer activation with respect to a given input.
 
 Variant effect prediction and mutation map generation is available for all models where the `variant_effects` parameter
- in the model.yaml (and dataloader.yaml) is set (see here)[http://kipoi.org/docs/postprocessing/variant_effect_prediction].
+ in the model.yaml (and dataloader.yaml) is set.
 Inspection of the activation of hidden model layers and calculation of gradients is available for all deep learning
 models: Currently supported are Keras, PyTorch and Tensorflow models. For a detailed description and examples of how
 to use tose features please take a look at: