Research evidence
Published records labeled by whether researchers used, cited, recommended, or independently evaluated ProteinIQ.
[Antimicrobial Peptides]
Insect antimicrobial peptide structures predicted with Chou-Fasman
Researchers used ProteinIQ's Chou-Fasman tool to predict secondary structures for five insect-derived antimicrobial peptide candidates before experimental testing.
Antibiotics Jiangsu Academy of Agricultural Sciences
[Structure Prediction]
Coa6-CoQ10 binding site modeled with Protenix
Researchers used Protenix to model how CoQ10 binds Coa6 in a mouse study of mitochondrial memory impairment.
Translational Neurodegeneration The Fourth Military Medical University
[Peptide Analysis]
Anticancer plant peptides profiled with ProteinIQ
Researchers in Poland used ProteinIQ to compute physicochemical properties of bioactive peptides derived from in silico hydrolysis of anticancer plant antimicrobial peptides.
International Journal of Molecular Sciences University of Life Sciences in Lublin
[Enzyme Engineering]
Molecules review recommends GNINA and PocketFlow for enzyme engineering
A comprehensive Molecules review of AI-driven enzyme engineering cited ProteinIQ as a recommended interface for GNINA and PocketFlow molecular docking tools.
Molecules University College Dublin
[Small Molecule]
Halogenated auxin lipophilicity profiled with molecular descriptors
Russian chemists used ProteinIQ's Molecular Descriptors tool to calculate lipophilicity for a series of novel halogenated alkylphenoxyacetic acids tested as synthetic plant growth regulators.
International Journal of Molecular Sciences Gubkin University, Moscow, Russia
[Structure Validation]
Tilapia amnoonvirus PB2 proteins validated with MolProbity
Researchers at Michigan State University used ProteinIQ's MolProbity app to validate predicted 3D structures of divergent amnoonvirus PB2 proteins from Egyptian Nile tilapia.
Microorganisms Michigan State University