Категорија DOI

Application of Carbon-Based Nanocomposite Systems as Photosensitizers for Photodynamic Therapy

2nd International Conference on Chemo and Bioinformatics ICCBIKG 2023 (61-66) АУТОР(И) / AUTHOR(S): Marijana Petković, Milutin Stepić, Iva Popović, Manuel Algarra, Tanja Dučić, Anamarija Abu el Rub,  Vanja Ralić,  Lela Korićanac, Jelena Žakula, Jelena Filipović Tričković, Ana Valenta Šobot, Maja…

ДетаљнијеApplication of Carbon-Based Nanocomposite Systems as Photosensitizers for Photodynamic Therapy

IRM@Be2+ – quantum chemistry between Bavaria and Šumadija

2nd International Conference on Chemo and Bioinformatics ICCBIKG 2023 (53-60) АУТОР(И) / AUTHOR(S): Ralph Puchta, Dušan Ćoćić Е-АДРЕСА / E-MAIL: Ralph.Puchta@fau.de Download Full Pdf    DOI: 10.46793 САЖЕТАК / ABSTRACT: Quantum chemical (density functional theory) mechanistic investigations on ligand exchange…

ДетаљнијеIRM@Be2+ – quantum chemistry between Bavaria and Šumadija

db.3d-qsar.com. The first 3D QSAR models database

2nd International Conference on Chemo and Bioinformatics ICCBIKG 2023 (51-52) АУТОР(И) / AUTHOR(S): Rino Ragno, Alessio Ragno Е-АДРЕСА / E-MAIL: rino.ragno@uniroma1.it Download Full Pdf    DOI: 10.46793 САЖЕТАК / ABSTRACT: Field-Based Three-Dimensiona Quantitative Strucutere-Activity Relationships (FB 3D QSAR) comprise computational…

Детаљнијеdb.3d-qsar.com. The first 3D QSAR models database

Multiparameter monitoring of cardiovascular function

2nd International Conference on Chemo and Bioinformatics ICCBIKG 2023 (43-50) АУТОР(И) / AUTHOR(S): Aleksandar Lazović, Natalija Đorđević, Predrag Tadić, Marija Ivanović, Vladimir Atanasoski, Marjan Miletić, Ljupčo Hadžievski, Arsen Ristić, Vladan Vukčević, Jovana Petrović Е-АДРЕСА / E-MAIL:  Download Full Pdf   …

ДетаљнијеMultiparameter monitoring of cardiovascular function

The hydrogen economy: challenges and prospectives

2nd International Conference on Chemo and Bioinformatics ICCBIKG 2023 (39-42) АУТОР(И) / AUTHOR(S): Jasmina Grbović Novaković, Sanja Milošević Govedarović, Igor Milanović, Tijana Pantić, Jelena Rmuš Mravik, Andjela Mitrović Rajić, Katarina Tošić, Milica Prvulović, Bojana Babić, Ana Vujačić Nikezić, Sandra Kurko,…

ДетаљнијеThe hydrogen economy: challenges and prospectives

Benzene and water – different or similar?

2nd International Conference on Chemo and Bioinformatics ICCBIKG 2023 (35-38) АУТОР(И) / AUTHOR(S): Milan R. Milovanovic, Jelena M. Zivković, Dragan B. Ninković, Jelena P. Blagojević, Snežana D. Zarić Е-АДРЕСА / E-MAIL: milovanovicmilan11@gmail.com Download Full Pdf    DOI: 10.46793 САЖЕТАК /…

ДетаљнијеBenzene and water – different or similar?

Synthetic Data Generation for Biomedical Deep Learning: Methods, Challenges, and Opportunities

2nd International Conference on Chemo and Bioinformatics ICCBIKG 2023 (26-33) АУТОР(И) / AUTHOR(S): Zlatan Car, Sandi Baressi Šegota, Branka Dobraš Е-АДРЕСА / E-MAIL: car@riteh.hr Download Full Pdf    DOI: 10.46793 САЖЕТАК / ABSTRACT: With the proliferation of deep learning (DL)…

ДетаљнијеSynthetic Data Generation for Biomedical Deep Learning: Methods, Challenges, and Opportunities

Algorithms and web servers for protein binding sites detection in drug discovery

2nd International Conference on Chemo and Bioinformatics ICCBIKG 2023 (14-21) АУТОР(И) / AUTHOR(S): Janez Konc, Dušanka Janežič Е-АДРЕСА / E-MAIL: konc@cmm.ki.si Download Full Pdf    DOI: 10.46793 САЖЕТАК / ABSTRACT: Drug discovery is a protracted and demanding process, which can…

ДетаљнијеAlgorithms and web servers for protein binding sites detection in drug discovery

Targeting depression via computational approaches to design new coumarin-based serotonin receptor antagonists/agonists and develop reliable models of G protein-coupled receptors

2nd International Conference on Chemo and Bioinformatics ICCBIKG 2023 (10-13) АУТОР(И) / AUTHOR(S): Bartosz Trzaskowski, Kinga Ostrowska Е-АДРЕСА / E-MAIL: b.trzaskowski@cent.uw.edu.pl Download Full Pdf    DOI: 10.46793 САЖЕТАК / ABSTRACT: It has been over 60 years since the pharmacological mechanisms…

ДетаљнијеTargeting depression via computational approaches to design new coumarin-based serotonin receptor antagonists/agonists and develop reliable models of G protein-coupled receptors