Cheminformatics models based on machine learning approaches for design of USP1/UAF1 abrogators as anticancer agents
Crossref DOI link: https://doi.org/10.1007/s11693-015-9162-1
Published Online: 2015-01-30
Published Print: 2015-06
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Wahi, Divya
Jamal, Salma
Goyal, Sukriti
Singh, Aditi
Jain, Ritu
Rana, Preeti
Grover, Abhinav
Text and Data Mining valid from 2015-01-30