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Motivation Current covalent docking tools have limitations that make them difficult to use for performing large-scale structure-based covalent virtual screening (VS). They require time-consuming tasks for the preparation of proteins and compounds (standardization, filtering according to the type of warheads), as well as for setting up covalent reactions. We have developed a toolkit to help accelerate drug discovery projects in the phases of hit identification by VS of ultra-large covalent libraries and hit expansion by exploration of the binding of known covalent compounds. With this application note, we offer the community a toolkit for performing automated covalent docking in a fast and efficient way. Results The toolkit comprises a KNIME workflow for ligand preparation and a Python program to perform the covalent docking of ligands with the GOLD docking engine running in a parallelized fashion. Availability and implementation The KNIME workflow entitled ‘Evotec_Covalent_Processing_forGOLD.knwf’ for the preparation of the ligands is available in the KNIME Hub https://hub.knime.com/emilie_pihan/spaces. Supplementary information Supplementary data are available at Bioinformatics Advances online.

Despite tremendous efforts, approximately 120 GPCRs remain orphan. Their physiological functions and their potential roles in diseases are poorly understood. Orphan GPCRs are extremely important because they may provide novel therapeutic targets for unmet medical needs. As a complement to experimental approaches, molecular modeling and virtual screening are efficient techniques to discover synthetic surrogate ligands which can help to elucidate the role of oGPCRs. Constitutively activated mutants and recently published active structures of GPCRs provide stimulating opportunities for building active molecular models for oGPCRs and identifying activators using virtual screening of compound libraries. We describe the molecular modeling and virtual screening process we have applied in the discovery of surrogate ligands, and provide examples for CCKA, a simulated oGPCR, and for two oGPCRs, GPR52 and GPR34.

Phosphatidylcholine is the major lipid component of the malaria parasite membranes and is required for parasite multiplication in human erythrocytes. Plasmodium falciparum CTP:phosphocholine cytidylyltransferase (PfCCT) is the rate-limiting enzyme of the phosphatidylcholine biosynthesis pathway and thus considered as a potential antimalarial target. In contrast to its mammalian orthologs, PfCCT contains a duplicated catalytic domain. Here, we show that both domains are catalytically active with similar kinetic parameters. A virtual screening strategy allowed the identification of a drug-size molecule competitively inhibiting the enzyme. This compound also prevented phosphatidylcholine biosynthesis in parasites and exerted an antimalarial effect. This study constitutes the first step towards a rationalized design of future new antimalarial agents targeting PfCCT.