Miha Škalič - Concepedia

Concepedia

Author

Miha Škalič

Universitat Pompeu Fabra ORCID

Also Known As

Miha Skalic, Miha Škalič, Skalic, Miha

26

Publications

2.3K

Citations

12

H-Index

45

Concepts

All Affiliations

Universitat Pompeu Fabra Barcelona Biomedical Research Park Institució Catalana de Recerca i Estudis Avançats Acellera (Spain)Boehringer Ingelheim (Germany)

MŠ

About

Miha Škalič is an author at Universitat Pompeu Fabra specializing in engineering, computational biology, and systems biology.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	5	5	327
2	Medicine	4	4	978
3	Natural Sciences	2	2	696
4	Biology	1	1	15
5	Biomedical Engineering	1	1	249

Miha Škalič

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11

Publications

2.3K

Citations

11

H-Index

	Year	Citations
<i>K</i><sub>DEEP</sub>: Protein–Ligand Absolute Binding Affinity Prediction via 3D-Convolutional Neural Networks José Jiménez-Luna, Miha Škalič, Gerard Martínez-Rosell, Journal of Chemical Information and Modeling	2018	928
SUPPA2: fast, accurate, and uncertainty-aware differential splicing analysis across multiple conditions Juan L. Trincado, Juan Carlos Entizne, Gerald Hysenaj, Genome biology GeneticsRna SplicingMolecular BiologyNovel MicroexonsTranscriptomics Technology	2018	681
Shape-Based Generative Modeling for de Novo Drug Design Miha Škalič, José Jiménez-Luna, Davide Sabbadin, Journal of Chemical Information and Modeling Geometric LearningEngineeringMachine LearningBiomedical EngineeringGenerative System	2019	249
From Target to Drug: Generative Modeling for the Multimodal Structure-Based Ligand Design Miha Škalič, Davide Sabbadin, Boris Sattarov, Molecular Pharmaceutics	2019	135
Coloring Molecules with Explainable Artificial Intelligence for Preclinical Relevance Assessment José Jiménez-Luna, Miha Škalič, Nils Weskamp, Journal of Chemical Information and Modeling	2021	85
LigVoxel: inpainting binding pockets using 3D-convolutional neural networks Miha Škalič, Alejandro Varela‐Rial, José Jiménez-Luna, Bioinformatics	2018	69
PlayMolecule BindScope: large scale CNN-based virtual screening on the web Miha Škalič, Gerard Martínez-Rosell, José Jiménez-Luna, Bioinformatics	2018	54
Benchmarking Molecular Feature Attribution Methods with Activity Cliffs José Jiménez-Luna, Miha Škalič, Nils Weskamp Journal of Chemical Information and Modeling EngineeringMachine LearningHit IdentificationMolecular BiologyFeature Attribution Techniques	2022	36
Deep Learning Methods for Efficient Large Scale Video Labeling Miha Škalič, Marcin Pekalski, Xingguo E. Pan arXiv (Cornell University) EngineeringMachine LearningVideo SummarizationVideo RetrievalVideo Interpretation	2017	15
Transcriptomics unravels the adaptive molecular mechanisms of Brettanomyces bruxellensis under SO2 stress in wine condition Federica Valdetara, Miha Škalič, Daniela Fracassetti, Food Microbiology BiologyBiosynthesisEngineeringPlant StressBotany	2020	15

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