Kategorija Zbornici

Limitations of coarse grain models of actin filament on prediction of X-ray diffraction patterns in contracting skeletal muscle

3rd International Conference on Chemo and BioInformatics, Kragujevac, September 25-26. 2025. (pp. 390-393)    AUTOR(I) / AUTHOR(S): Momcilo Prodanovic, Andjela Kafedziski, Srboljub M. Mijailovich   Download Full Pdf    DOI:  10.46793 SAŽETAK / ABSTRACT: X-ray diffraction from contracting skeletal muscle…

DetaljnijeLimitations of coarse grain models of actin filament on prediction of X-ray diffraction patterns in contracting skeletal muscle

Integration of 3D Printing Technologies with Deuterated Polyunsaturated Fatty Acids (D-PUFAs)

3rd International Conference on Chemo and BioInformatics, Kragujevac, September 25-26. 2025. (pp. 386-389)    AUTOR(I) / AUTHOR(S): Djordje Milosevic, Marija Brankovic, Nevena Mihailovic, Fatima Zivic   Download Full Pdf    DOI:  10.46793 SAŽETAK / ABSTRACT: Deuterated polyunsaturated fatty acids (D-PUFAs)…

DetaljnijeIntegration of 3D Printing Technologies with Deuterated Polyunsaturated Fatty Acids (D-PUFAs)

Time-dependent apoptotic responses to vitamin E in precancerous lesions-on- chip models

3rd International Conference on Chemo and BioInformatics, Kragujevac, September 25-26. 2025. (pp. 382-385)    AUTOR(I) / AUTHOR(S): Ana Mirić, Anđela Perić, Jelena Košarić, Nevena Milivojević Dimitrijević, Petar Arsenijević, Marko Živanović, Nenad Filipović   Download Full Pdf    DOI:  10.46793 SAŽETAK…

DetaljnijeTime-dependent apoptotic responses to vitamin E in precancerous lesions-on- chip models

A Reproducible Pipeline for Preprocessing and Annotation of scRNA-seq Data Using Seurat and Scanpy

3rd International Conference on Chemo and BioInformatics, Kragujevac, September 25-26. 2025. (pp. 371-374)    AUTOR(I) / AUTHOR(S): Vladimir Kovačević, Andreja Živić, Miloš Ivanović, Nevena Milivojević Dimitrijević, Marko Živanović   Download Full Pdf    DOI:  10.46793 SAŽETAK / ABSTRACT: Single-cell RNA…

DetaljnijeA Reproducible Pipeline for Preprocessing and Annotation of scRNA-seq Data Using Seurat and Scanpy

An Enhanced Method for Quantifying Energy Loss due to Diffusion in Coronary Arteries with Stenosis

3rd International Conference on Chemo and BioInformatics, Kragujevac, September 25-26. 2025. (pp. 368-371)    AUTOR(I) / AUTHOR(S): Aleksandar Milovanović, Velibor Isailović, Igor Saveljić, Nenad Filipović   Download Full Pdf    DOI:  10.46793 SAŽETAK / ABSTRACT: Energy loss in stenotic coronary…

DetaljnijeAn Enhanced Method for Quantifying Energy Loss due to Diffusion in Coronary Arteries with Stenosis

Length–weight relationship of brown trout in selected rivers of the West Morava River system (Serbia)

3rd International Conference on Chemo and BioInformatics, Kragujevac, September 25-26. 2025. (pp. 364-367)    AUTOR(I) / AUTHOR(S): Tijana Z. Veličković, Aleksandra M. Milošković, Milena D. Radenković, Nataša M. Kojadinović, Đorđe D. Gajić, Vladica M. Simić   Download Full Pdf   …

DetaljnijeLength–weight relationship of brown trout in selected rivers of the West Morava River system (Serbia)

Inspection of meat for trichinellosis. Classification of Trichinella spiralis using a convolutional neural network

3rd International Conference on Chemo and BioInformatics, Kragujevac, September 25-26. 2025. (pp. 355-363)    AUTOR(I) / AUTHOR(S): Sofija Stanojlović   Download Full Pdf    DOI:  10.46793 SAŽETAK / ABSTRACT: Trichinella spiralis is a dangerous parasite that lives in domestic and…

DetaljnijeInspection of meat for trichinellosis. Classification of Trichinella spiralis using a convolutional neural network

Prediction of the Biological Activity of Compounds on the 11β-HSD2 Enzyme Using Different Machine Learning Approaches

3rd International Conference on Chemo and BioInformatics, Kragujevac, September 25-26. 2025. (pp. 340-354)    AUTOR(I) / AUTHOR(S): Sofija Stanojlović   Download Full Pdf    DOI:  10.46793 SAŽETAK / ABSTRACT: This study explored different machine learning approaches for predicting the biological…

DetaljnijePrediction of the Biological Activity of Compounds on the 11β-HSD2 Enzyme Using Different Machine Learning Approaches