Update README.md

README.md

@@ -358,32 +358,39 @@ You can also find the same description in the paper or in the PeptiVerse app `Do
 
 ---
 #### 🩸 Hemolysis Prediction
-50% of read blood cells being lysed at x ug/ml concetration (HC50). If HC50 < 100uM, considered as hemolytic, otherwise non-hemolytic, resulting in a binary 0/1 dataset. The predicted probability should therefore be interpreted as a risk indicator, not an exact concentration estimate.
-**Output interpretation:**
-- Score close to 1.0 = high probability of red blood cell membrane disruption
+50% of read blood cells being lysed at x ug/ml concetration (HC50). If HC50 < 100uM, considered as hemolytic, otherwise non-hemolytic, resulting in a binary 0/1 dataset. The predicted probability should therefore be interpreted as a risk indicator, not an exact concentration estimate. <br>
+
+**Output interpretation:**<br>
+
+- Score close to 1.0 = high probability of red blood cell membrane disruption<br>
 - Score close to 0.0 = non-hemolytic
 ---
 
 #### 💧 Solubility Prediction
-Outputs a probability (0–1) that a peptide remains soluble in aqueous conditions.
-**Output interpretation:**
-- Score close to 1.0 = highly soluble
-- Score close to 0.0 = poorly soluble
+Outputs a probability (0–1) that a peptide remains soluble in aqueous conditions.<br>
 
+**Output interpretation:**<br>
+
+- Score close to 1.0 = highly soluble<br>
+- Score close to 0.0 = poorly soluble<br>
 ---
 
 #### 👯 Non-Fouling Prediction
-Higher scores indicate stronger non-fouling behavior, desirable for circulation and surface-exposed applications.
-**Output interpretation:**
-- Score close to 1.0 = non-fouling
-- Score close to 0.0 = fouling
+Higher scores indicate stronger non-fouling behavior, desirable for circulation and surface-exposed applications.<br>
+
+**Output interpretation:**<br>
+- Score close to 1.0 = non-fouling<br>
+- Score close to 0.0 = fouling<br>
+
 ---
 
 #### 🪣 Permeability Prediction
-Predicts membrane permeability on a log P scale.
-**Output interpretation:**
-- Higher values = more permeable (>-6.0)
-- For penetrance predictions, it is a classification prediction, so within the [0, 1] range, closer to 1 indicates more permeable.
+Predicts membrane permeability on a log P scale.<br>
+
+**Output interpretation:**<br>
+- Higher values = more permeable (>-6.0)<br>
+- For penetrance predictions, it is a classification prediction, so within the [0, 1] range, closer to 1 indicates more permeable.<br>
+
 ---
 
 #### ⏱️ Half-Life Prediction
@@ -398,7 +405,7 @@ Predicts membrane permeability on a log P scale.
 
 #### 🔗 Binding Affinity Prediction
 
-Predicts peptide-protein binding affinity. Requires both peptide and target protein sequence.
+Predicts peptide-protein binding affinity. Requires both peptide and target protein sequence.<br>
 
 **Interpretation:**<br>
     - Scores ≥ 9 correspond to tight binders (K ≤ 10⁻⁹ M, nanomolar to picomolar range)<br>
@@ -428,6 +435,8 @@ huggingface-cli download ChatterjeeLab/PeptiVerse \
     --local-dir . \
     --local-dir-use-symlinks False
 ```
+### TODOs
+Bug loading transformer half-life model now, will fix soon.
 
 ## Citation 🌟