PharmAI's technology is based on over 100 man years of academic research. Our scientists continuously improve our algorithm to better and faster optimize our drug discovery engine. Below is a selected list of publications that is the base of the PharmAIs algorithm.

Nucleic Acids Research

PLIP 2021: expanding the scope of the protein–ligand interaction profiler to DNA and RNA Melissa F Adasme, Katja L Linnemann, Sarah Naomi Bolz, Florian Kaiser, Sebastian Salentin, V Joachim Haupt, Michael Schroeder Nucleic Acids Research, gkab294, https://doi.org/10.1093/nar/gkab294

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bioRxiv

In Silico Driven Prediction of MAPK14 Off-Targets Reveals Unrelated Proteins with High Accuracy Florian Kaiser, Maximilian G. Plach, Christoph Leberecht, Thomas Schubert, V. Joachim Haupt bioRxiv 2020.07.24.219071; doi: https://doi.org/10.1101/2020.07.24.219071.

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Nature Scientific Reports

The structural basis of the genetic code: amino acid recognition by aminoacyl-tRNA synthetases. Kaiser et al (2020)

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bioRxiv

Application of our Focused Library Service. Kaiser F, et al. (2020) Focus Your Screening Library: Rapid Identification of Novel PDE2 Inhibitors with in silico Driven Library Prioritization and MicroScale Thermophoresis. bioRxiv 2020.04.22.021360; doi: https://doi.org/10.1101/2020.04.22.021360

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Nature Scientific Reports

Drug Repositioning from Infectious Disease (Malaria) to Cancer Chemoresistance. Salentin S, et al. (2017) From malaria to cancer: Computational drug repositioning of amodiaquine using PLIP interaction patterns. Sci Rep. 7:11401

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Oncotarget

New Drug Candidates for Cancer Chemoresistance. Heinrich JC, et al. (2016) New HSP27 inhibitors efficiently suppress drug resistance development in cancer cells. Oncotarget. 7:68156

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ACS Journal of Medicinal Chemistry

New Drug Candidates for Tuberculosis. Štular T, et al. (2016) Discovery of M. tuberculosis InhA inhibitors by binding sites comparison and ligands prediction. J Med Chem. 59:11069-11078

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Bentham Science

Drug Repositioning from Antiviral to Chagas Disease. Haupt VJ, et al. (2016) Computational Drug Repositioning by Target Hopping: A Use Case in Chagas Disease. Curr Pharm Des. 22:3124

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Nucleic Acids Research

Interaction Patterns for Characterization of Ligand Binding. Salentin S, et al. (2015) PLIP: fully automated protein-ligand interaction profiler. Nucl Acids Res. 43:443

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PLOS ONE

Binding Site Similarity Largely Explains Drug Promiscuity. Haupt VJ, et al. (2013) Drug Promiscuity in PDB: Protein Binding Site Similarity Is Key. PLOS ONE 8:10.1371 (Top 10% most cited in PLOS ONE)

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