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Polishchuk Pavlo Ph.D., M.Sc.

Journals

ŘEHULKA, J., I. SUBTELNA, A. KRYSHCHYSHYN-DYLEVYCH, A. CHERNIIENKO, A. IVANOVA, M. MATVEIEVA, P. POLISHCHUK, S. GURSKÁ, M. HAJDÚCH, O. ZAGRIJTCHUK, P. DŽUBÁK, R. LESYK
Anticancer 5-arylidene-2-(4-hydroxyphenyl)aminothiazol-4(5H)-ones as tubulin inhibitors. Archiv der Pharmazie. 2022, 355(12), e2200419, ISSN: 0365-6233, PMID: 36109178,
SCHADICH, E., S. NYLEN, S. GURSKÁ, J. KOTULOVÁ, S. ANDRONATI, V. PAVLOVSKY, S. SOBOLEVA, P. POLISHCHUK, M. HAJDÚCH, P. DŽUBÁK
Activity of 1-aryl-4-(naphthalimidoalkyl) piperazine derivatives against Leishmania major and Leishmania mexicana. Parasitology International. 2022, 91, 102647, ISSN: 1383-5769, PMID: 35985636,
An identification of MARK inhibitors using high throughput MALDI-TOF mass spectrometry. Biomedicine & Pharmacotherapy. 2022, 146, 112549, ISSN: 0753-3322, PMID: 34923338,

Open positions

Projekt: Postdoctoral fellow/Researcher
Vedoucí: Polishchuk Pavlo Ph.D., M.Sc.
K dispozici: 1
Určeno pro: Postdoktorandské studium
Souhrn: The group of chemoinformatics and drug design at the Institute of
Molecular and Translational Medicine, Faculty of Medicine and
Dentistry, Palacky University in Olomouc, Czech Republic
(https://imtm.cz/laboratories/chemoinformatics-and-drug-design) seeks
for a postdoctoral fellow with experience in chemoinformatics and
programming.

The primary objective of the group is development of new computational
approaches and software tools in drug design and their application in
medicinal chemistry projects on hit/lead identification/optimization
and target identification.

The successful candidate will be mainly involved into the project on
de novo fragment-based drug design and optimization. He/she will
implement new and improve existing tools and approaches, validate them
retrospectively and apply those tools in ongoing medicinal chemistry
projects conducting at our institution in close collaboration with
medicinal chemists and biologists. The candidate can be involved in
other research projects depending on his/her experience and skills.

The formal requirements:
PhD in chemistry, chemoinformatics, computer science or related
fields or 3 years of experience in relevant fields
experience with molecular docking/pharmacophore modeling/machine
learning
knowledge of RDKit
good Python programming skills and experience in software
development
data analysis skills
basic medicinal chemistry knowledge is a plus
good publication record
excellent writing and spoken English

The position will be opened for 2-3 years with a possibility of
extension.

Informal inquiries as well as applications, including curriculum vitae
and bibliography, cover letter describing candidate research interests
and past accomplishments should be sent via email to
pavlo.polishchuk@upol.cz.
Projekt: Multi-instance learning in chemoinformatics
Vedoucí: Polishchuk Pavlo Ph.D., M.Sc.
K dispozici: 1
Určeno pro: Doktorské studium
Souhrn: 1 place in full-time study
Projekt: Modeling of biologically active compounds based on ligands and structure
Vedoucí: Polishchuk Pavlo Ph.D., M.Sc.
K dispozici: 1
Určeno pro: Doktorské studium
Souhrn: 1 place in full-time study
Projekt: Explainable artificial intelligence in chemoinformatics
Vedoucí: Polishchuk Pavlo Ph.D., M.Sc.
K dispozici: 1
Určeno pro: Doktorské studium
Souhrn: 1 place in full-time study
Projekt: Chemoinformatic approaches to drug design based on fragments
Vedoucí: Polishchuk Pavlo Ph.D., M.Sc.
K dispozici: 1
Určeno pro: Doktorské studium
Souhrn: 1 place in full-time study
Projekt: Ligand- and structure-based modeling of biologically active compounds
Vedoucí: Polishchuk Pavlo Ph.D., M.Sc.
K dispozici: 1
Určeno pro: Doktorské studium
Projekt: Development of 3D pharmacophore signatures and their application in anticancer drug design
Vedoucí: Polishchuk Pavlo Ph.D., M.Sc.
K dispozici: 1
Určeno pro: Doktorské studium
Projekt: De novo design of compounds for protein targets
Vedoucí: Polishchuk Pavlo Ph.D., M.Sc.
K dispozici: 1
Určeno pro: Bakalářské studium
Souhrn: -
Projekt: Novel 3D pharmacophore representation for machine learning
Vedoucí: Polishchuk Pavlo Ph.D., M.Sc.
K dispozici: 1
Určeno pro: Magisterské studium
Projekt: Computationally guided optimization of compound properties
Vedoucí: Polishchuk Pavlo Ph.D., M.Sc.
K dispozici: 1
Určeno pro: Magisterské studium
Projekt: Applicability domains in machine learning modeling
Vedoucí: Polishchuk Pavlo Ph.D., M.Sc.
K dispozici: 1
Určeno pro: Magisterské studium
Projekt: Fragment-based de novo design using pharmacophore models
Vedoucí: Polishchuk Pavlo Ph.D., M.Sc.
K dispozici: 1
Určeno pro: Magisterské studium