diff --git a/assets/schema_input.json b/assets/schema_input.json
index 2093c68..e4039a4 100644
--- a/assets/schema_input.json
+++ b/assets/schema_input.json
@@ -28,9 +28,6 @@
             }
         },
         "required": ["fasta"],
-        "anyOf": [
-            { "required": ["sequence"] },
-            { "required": ["id"] }
-        ]
+        "anyOf": [{ "required": ["sequence"] }, { "required": ["id"] }]
     }
 }
diff --git a/docs/output.md b/docs/output.md
index 6e92530..335afaf 100644
--- a/docs/output.md
+++ b/docs/output.md
@@ -199,7 +199,7 @@ Below you can find an indicative example of the TSV file with the pLDDT scores p
 - 'run/'
   - `<SEQUENCE NAME>_helixfold3.pdb` that is the structure with the highest pLDDT score (ranked first)
   - `<SEQUENCE NAME>_plddt_mqc.tsv` that presents the pLDDT scores per residue for the predicted model
-  - `<SEQUENCE NAME>/` that contains the computed MSAs, prediction metadata, ranked structures, raw model outputs etc. 
+  - `<SEQUENCE NAME>/` that contains the computed MSAs, prediction metadata, ranked structures, raw model outputs etc.
 
 </details>
 
diff --git a/docs/usage.md b/docs/usage.md
index ce2a3fc..a145220 100644
--- a/docs/usage.md
+++ b/docs/usage.md
@@ -440,7 +440,6 @@ nextflow run nf-core/proteinfold \
 
 This will launch the pipeline with the `docker` configuration profile. See below for more information about profiles.
 
-
 AlphaFold2 regular can be run using this command:
 
 ```bash