Scientific Reports · 2022 · 32 citations · 13 references
PharmacyBioinformaticsMedicinal ChemistryApoptosisDrug DesignStructure-activity RelationshipsDrug DatabasesDrug Information ResourcesMolecular DescriptorsPeptide Drug DiscoveryQuantitative Structure-activity RelationshipsStructure-activity Relationship AnalysisComputational Structure-activity ModelingMolecular Descriptor DatabasesPeptide Medicinal ChemistryPeptide Structure - Activity RelationshipsPhysicochemical PropertiesResearch ArticlesStructure - Activity Relationship DatabasesStructure-activity Relationship Modeling
ApInAPDB (Apoptosis-Inducing Anticancer Peptides Database) consists of 818 apoptosis-inducing anticancer peptides which are manually collected from research articles. The database provides scholars with peptide related information such as function, binding target and affinity, IC50 and etc. In addition, GRAVY (grand average of hydropathy), net charge at pH 7, hydrophobicity and other physicochemical properties are calculated and presented. Another category of information are structural information includes 3D modeling, secondary structure prediction and descriptors for QSAR (quantitative structure-activity relationship) modeling. In order to facilitate the browsing process, three types of user-friendly searching tools are provided: top categories browser, simple search and advanced search. Overall ApInAPDB as the first database presenting apoptosis-inducing anticancer peptides can be useful in the field of peptide design and especially cancer therapy. Researchers can freely access the database at http://bioinf.modares.ac.ir/software/ApInAPDB/ .
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Rebecca L. Siegel, Kimberly D. Miller, Ahmedin Jemal · CA A Cancer Journal for Clinicians · 2020 · 21.4K citations · Full text
Ultrastructural Characterization of the Lower Motor System in a Mouse Model of Krabbe Disease
Valentina Cappello, Laura Marchetti, Paola Parlanti et al. · Scientific Reports · 2016 · 13.3K citations · Full text
Medicine, Neurobiology, Neuroscience +17
CancerPPD: a database of anticancer peptides and proteins
Atul Tyagi, Abhishek Tuknait, Priya Anand et al. · Nucleic Acids Research · 2014 · 381 citations · Full text
Medicine, Bioinformatics, Oncology +17