Update readme

README.md

@@ -9,13 +9,17 @@ metrics:
 tags:
 - biology
 - chemistry
+- therapeutic science
+- drug design
+- drug development
+- therapeutics
 library_name: tdc
 license: bsd-2-clause
 ---
 
 ## Dataset description
 
-As a membrane separating circulating blood and brain extracellular fluid, the blood-brain barrier (BBB) is the protection layer that blocks most foreign drugs. Thus the ability of a drug to penetrate the barrier to deliver to the site of action forms a crucial challenge in development of drugs for central nervous system.
+As a membrane separating circulating blood and brain extracellular fluid, the blood-brain barrier (BBB) is the protective layer that blocks most foreign drugs. Thus the ability of a drug to penetrate the barrier to deliver to the site of action forms a crucial challenge in developing drugs for the central nervous system.
 
 ## Task description
 
@@ -25,10 +29,10 @@ Binary classification. Given a drug SMILES string, predict the activity of BBB.
 
 Total: 1,975 drugs
 
-## Dataset split: 
-Random split on 70% training, 10% validation, and 20% testing
-To load the dataset in TDC, type
+## Dataset split
+Random split with 70% training, 10% validation, and 20% testing
 
+To load the dataset in TDC, type
 
 ```python
 from tdc.single_pred import ADME
@@ -46,6 +50,6 @@ dp_model = tdc_hf_herg.load_deeppurpose('./data')
 tdc_hf.predict_deeppurpose(dp_model, ['YOUR SMILES STRING'])
 ```
 
-## References:
-
-[1] Martins, Ines Filipa, et al. “A Bayesian approach to in silico blood-brain barrier penetration modeling.” Journal of chemical information and modeling 52.6 (2012): 1686-1697.
+## References
+* Dataset entry in Therapeutics Data Commons, https://tdcommons.ai/single_pred_tasks/adme/#bbb-blood-brain-barrier-martins-et-al
+* Martins, Ines Filipa, et al. “A Bayesian approach to in silico blood-brain barrier penetration modeling.” Journal of chemical information and modeling 52.6 (2012): 1686-1697.