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2 2019

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Polypharmacology – a challenge for current drug design approaches

Podlewska Sabina, Kurczab Rafał

Science, Technology and Innovation

2019

Vol. 6, no. 3

19--23

Drug design process faces many challenges, and the most important ones are connected with side effects. Finding compounds that possess affinity towards target of interest is relatively simple; however, an approach one disease-one target is now making space for the search of polypharmacological ligands, where activity towards several proteins is considered at one time. Such proteins are not always the target ones, but very often such panels include also anti-targets, interaction with which is not desired, due to the side effects that may occur upon such contact. In the study, we examined ligands of four G protein-coupled receptors, forming antipsychotic profile: dopamine receptor D2, serotonin receptors 5-HT2A, 5-HT2C (anti-target), and 5-HT6. Number of ligands belonging to particular activity groups, as well as the selected compound structures are examined in detail. Also compound similarity between sets of different activity groups is analysed, giving a picture of difficulty of constructing molecular modeling methodologies that can help in the search of compounds with desired activity profile.

Application of Fragment Molecular Orbital Method to investigate dopamine receptors

Preikša Jokūbas, Śliwa Paweł

Science, Technology and Innovation

2019

Vol. 6, no. 3

24--32

GPCRs are a vast family of seven-domain transmembrane proteins. This family includes dopamine receptors (D1, D2, D3, D4, and D5), which mediate the variety of dopamine-controlled physiological functions in the brain and periphery. Ligands of dopamine receptors are used for managing several neuropsychiatric disorders, including bipolar disorder, schizophrenia, anxiety, and Parkinson’s disease. Recent studies have revealed that dopamine receptors could be part of multiple signaling cascades, rather than of a single signaling pathway. For these targets, a variety of experimental and computational drug design techniques are utilized. In this work, dopamine receptors D2, D3, and D4 were investigated using molecular dynamic method as well as computational ab initio Fragment Molecular Orbital method (FMO), which can reveal atomistic details about ligand binding. The results provided useful insights into the significances of amino acid residues in ligand binding sites. Moreover, similarities and differences between active-sites of three studied types of receptors were examined.