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Andrew Anighoro

Researcher at University of Bonn

Publications -  23
Citations -  1090

Andrew Anighoro is an academic researcher from University of Bonn. The author has contributed to research in topics: Virtual screening & Docking (molecular). The author has an hindex of 10, co-authored 19 publications receiving 843 citations. Previous affiliations of Andrew Anighoro include University of Modena and Reggio Emilia.

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Polypharmacology: Challenges and Opportunities in Drug Discovery

TL;DR: This review will compare advantages and disadvantages of multitarget versus combination therapies, discuss potential drug promiscuity arising from off-target effects, comment on drug repurposing, and introduce approaches to the computational design of multi-target drugs.
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Application of a post-docking procedure based on MM-PBSA and MM-GBSA on single and multiple protein conformations.

TL;DR: It is found that, in many cases, MM-PBSA and MM-GBSA are able to yield higher enrichment factors compared to those obtained with the docking scoring functions alone, and for only a minority of the cases, the enrichment factors obtained by using multiple protein conformations were higher than those obtaining by using only one protein conformation.
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Role of bifidobacteria in the hydrolysis of chlorogenic acid.

TL;DR: A possible role of B. animalis in the activation of hydroxycinnamic acids was demonstrated and new perspectives were opened in the development of new probiotics, specifically selected for the enhanced bioconversion of phytochemicals into bioactive compounds.
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Structure-based discovery of the first allosteric inhibitors of cyclin-dependent kinase 2

TL;DR: The results of a virtual screening campaign resulted in the discovery of the first-in-class type III allosteric ligands of CDK2, and the most potent compound 4 was able to selectively inhibit CDK1-mediated Retinoblastoma phosphorylation.
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Three-Dimensional Similarity in Molecular Docking: Prioritizing Ligand Poses on the Basis of Experimental Binding Modes

TL;DR: 3D similarity-based ranking consistently improves the enrichment of active compounds compared to ranking obtained using scoring functions, even if only a single crystallographic ligand is used as a reference.