Resolve conflicts

README.md

@@ -18,7 +18,7 @@ configs:
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-# Ultra-large docking data: AmpC 96M compounds
+# Ultra-large docking data: D4 receptor 115M compounds
 
 These data are from John J. Irwin, Bryan L. Roth, and Brian K. Shoichet's labs. They published it as:
 
@@ -30,7 +30,7 @@ Epub 2019 Feb 6. PMID: [30728502](https://pubmed.ncbi.nlm.nih.gov/30728502/); PM
 
 ## Dataset Details
 
-The compounds are represented as SMILES strings, and are annotated with ZINC IDs, heavy atom count (HAC), and DOCKscore. For convenience we have added molecuar weight, 
+The compounds are represented as SMILES strings, and are annotated with ZINC IDs, heavy atom count (HAC), and DOCKscore. For convenience we have added molecular weight, 
 Crippen cLogP, and topological surface area as calculated by RDKit (using [schemist](https://github.com/scbirlab/schemist)).
 
 
@@ -38,8 +38,8 @@ Crippen cLogP, and topological surface area as calculated by RDKit (using [schem
 
 <!-- Provide a longer summary of what this dataset is. -->
 
-The authors of doi: [10.1038/s41586-019-0917-9](https://doi.org/10.1038/s41586-019-0917-9) carried out a massive dockign campaign to
-see if increasing the numerb of compounds in virtual libraries would increase the number of docking hits that represent new active
+The authors of doi: [10.1038/s41586-019-0917-9](https://doi.org/10.1038/s41586-019-0917-9) carried out a massive docking campaign to
+see if increasing the number of compounds in virtual libraries would increase the number of docking hits that represent new active
 chemical scaffolds that validate in the wet lab.
 
 They docked libraries of ~100 million molecules to AmpC, a $\beta$-lactamase, and the D$_4$ dopamine receptor. **This dataset contains the