官方服务：
资源简介：
2HF in silico ADMET predictions.
应用场景：
创建时间：
2018-12-06
相关数据集
Additional file 1 of Antimicrobial analysis of honey against Staphylococcus aureus isolates from wound, ADMET properties of its bioactive compounds and in-silico evaluation against dihydropteroate synthase
Additional file 1:
DataCite Commons2024-08-14 更新60
Digging for the discovery of SARS-CoV-2 nsp12 inhibitors: a pharmacophore-based and molecular dynamics simulation study: Supplementary tables
Aim: COVID-19 is a global health threat. Therapeutics are urgently needed to cure patients severely infected with COVID-19. Objective: to investigate potential candidates of nsp12 inhibitors by search
DataCite Commons2024-05-17 更新30
3D QSAR pharmacophore-based virtual screening for the identification of potential inhibitors of tyrosinase
Tyrosinase plays an important role in melanin biosynthesis and protects skin against ultraviolet radiations. Functional deficiency of tyrosinase results in serious dermatological diseases. Tyrosinase
Figshare2019-08-01 更新20
Metadata record for: SAVI: in silico generation of billions of easily synthesizable compounds through expert-system type rules
This dataset contains key characteristics about the data described in the Data Descriptor SAVI: in silico generation of billions of easily synthesizable compounds through expert-system type rules. <br
DataCite Commons2020-11-09 更新60
Table S1 - In Silico Investigation of Potential Src Kinase Ligands from Traditional Chinese Medicine
Predicted and observed activity (pIC50) of 53 known Src kinase inhibitors1 using generated CoMFA and CoMSIA models. (DOC)
Figshare2015-12-02 更新20
