diff --git a/webinterface/pages/5_Quant_LFQ_peptidoform_DDA.py b/webinterface/pages/5_Quant_LFQ_peptidoform_DDA.py
new file mode 100644
index 00000000..75426e42
--- /dev/null
+++ b/webinterface/pages/5_Quant_LFQ_peptidoform_DDA.py
@@ -0,0 +1,131 @@
+import logging
+from typing import Any, Dict, Type
+
+import pages_dir.texts.proteobench_builder as pbb
+import streamlit as st
+from pages_dir.base_pages.quant import QuantUIObjects
+from pages_dir.pages_variables.Quant.lfq.peptidoform.DDA.peptidoform_variables import (
+    VariablesDDAQuant,
+)
+from pages_dir.texts.generic_texts import WebpageTexts
+
+from proteobench.io.parsing.parse_settings import ParseSettingsBuilder
+from proteobench.modules.quant.lfq.peptidoform.DDA.quant_lfq_peptidoform_DDA import (
+    DDAQuantPeptidoformModule,
+)
+
+
+class StreamlitUI:
+    def __init__(self):
+        self.variables_dda_quant: VariablesDDAQuant = VariablesDDAQuant()
+        self.texts: Type[WebpageTexts] = WebpageTexts
+        self.texts.ShortMessages.title = "DDA peptidoform quantification"
+
+        self.user_input: Dict[str, Any] = dict()
+
+        pbb.proteobench_page_config()
+
+        if self.variables_dda_quant.submit not in st.session_state:
+            st.session_state[self.variables_dda_quant.submit] = False
+        try:
+            token = st.secrets["gh"]["token"]
+        except KeyError:
+            token = ""
+
+        self.peptidoform_module: DDAQuantPeptidoformModule = DDAQuantPeptidoformModule(token=token)
+        self.parsesettingsbuilder = ParseSettingsBuilder(
+            parse_settings_dir=self.variables_dda_quant.parse_settings_dir, module_id=self.peptidoform_module.module_id
+        )
+
+        self.quant_uiobjects = QuantUIObjects(
+            self.variables_dda_quant, self.peptidoform_module, self.parsesettingsbuilder
+        )
+
+        self._main_page()
+
+    def _main_page(self) -> None:
+        """
+        Sets up the main page layout for the Streamlit application.
+        This includes the title, module descriptions, input forms, and configuration settings.
+        """
+        # Create tabs
+        (
+            tab_results_all,
+            tab_submission_details,
+            tab_indepth_plots,
+            tab_results_new,
+            tab_public_submission,
+        ) = st.tabs(
+            [
+                "Public Benchmark Runs",
+                "Submit New Data",
+                "Results In-Depth",
+                "Results New Data",
+                "Public Submission",
+            ]
+        )
+
+        with tab_results_all:
+            st.title(self.variables_dda_quant.texts.ShortMessages.title)
+            st.write(
+                f"The full description of the module is available [here]({self.variables_dda_quant.texts.ShortMessages.doc_url})"
+            )
+            if self.variables_dda_quant.beta_warning:
+                st.warning(
+                    "This module is in BETA phase. The figure presented below and the metrics calculation may change in the near future."
+                )
+            self.quant_uiobjects.display_all_data_results_main()
+
+        # Tab 2: Submission Details
+        with tab_submission_details:
+            st.title(self.variables_dda_quant.texts.ShortMessages.title)
+            st.write(
+                f"The full description of the module is available [here]({self.variables_dda_quant.texts.ShortMessages.doc_url})"
+            )
+            if self.variables_dda_quant.beta_warning:
+                st.warning(
+                    "This module is in BETA phase. The figure presented below and the metrics calculation may change in the near future."
+                )
+            self.quant_uiobjects.display_submission_form()
+
+        # Tab 2.5: in-depth plots current data
+        with tab_indepth_plots:
+            st.title(self.variables_dda_quant.texts.ShortMessages.title)
+            st.write(
+                f"The full description of the module is available [here]({self.variables_dda_quant.texts.ShortMessages.doc_url})"
+            )
+            if self.variables_dda_quant.beta_warning:
+                st.warning(
+                    "This module is in BETA phase. The figure presented below and the metrics calculation may change in the near future."
+                )
+            self.quant_uiobjects.generate_current_data_plots(True)
+
+        # Tab 3: Results (New Submissions)
+        with tab_results_new:
+            st.title(self.variables_dda_quant.texts.ShortMessages.title)
+            st.write(
+                f"The full description of the module is available [here]({self.variables_dda_quant.texts.ShortMessages.doc_url})"
+            )
+            if self.variables_dda_quant.beta_warning:
+                st.warning(
+                    "This module is in BETA phase. The figure presented below and the metrics calculation may change in the near future."
+                )
+
+            self.quant_uiobjects.display_all_data_results_submitted()
+
+        # Tab 4: Public Submission
+        with tab_public_submission:
+            st.title(self.variables_dda_quant.texts.ShortMessages.title)
+            st.write(
+                f"The full description of the module is available [here]({self.variables_dda_quant.texts.ShortMessages.doc_url})"
+            )
+            if self.variables_dda_quant.beta_warning:
+                st.warning(
+                    "This module is in BETA phase. The figure presented below and the metrics calculation may change in the near future."
+                )
+            self.quant_uiobjects.display_public_submission_ui()
+
+
+if __name__ == "__main__":
+    logging.basicConfig(format="%(levelname)s:%(message)s", level=logging.INFO)
+    StreamlitUI()  # Instantiate and run the extended UI class