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Computational identification and evaluation of novel PD-L1 inhibitors for cancer immunotherapy
Hina Manzoor
, Muhammad Umer Khan
, Chaudhry Ahmed Shabbir
, Raima Rehman
,
Alaa S. Alhegaili
, Muhammad Ikram Ullah
, Heba Bassiony Ghanem
, Ayman Ali Mohammed Alameen
Medical Laboratory Sciences
The University of Lahore
University of Adelaide
University of the Punjab
Al Jouf University
Research output
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Contribution to journal
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Article
›
peer-review
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Chemistry
Chemical Stability
50%
Density Functional Theory
50%
Hydrogen Bonding
50%
Ligand Binding
50%
Molecular Docking
50%
Molecular Dynamics Simulation
100%
Pharmacokinetics
100%
Radius of Gyration
50%
Virtual Screening
50%
Pharmacology, Toxicology and Pharmaceutical Science
Absorption-Distribution-Metabolism-Excretion Toxicity
33%
Blood-Brain Barrier
33%
Chemical Stability
33%
Hydrogen Bond
33%
Immunogenicity
33%
Immunotherapy
100%
Malignant Neoplasm
100%
Pharmacokinetic
66%
Virtual Screening
33%
Biochemistry, Genetics and Molecular Biology
Active Site
11%
ADMET
11%
Anticancer
11%
Blood Brain Barrier
11%
Cancer Immunotherapy
100%
Chemical Stability
11%
Docking (Molecular)
11%
Hydrogen Bond
11%
Immunogenicity
11%
Ligand Binding
11%
PD-L1
100%
Pharmacokinetic
22%
Small Molecule
22%
Material Science
Density
100%
Hydrogen Bonding
100%
Ligand Binding
100%