フォロー
Miha Skalic
Miha Skalic
確認したメール アドレス: boehringer-ingelheim.com
タイトル
引用先
引用先
KDEEP: Protein–Ligand Absolute Binding Affinity Prediction via 3D-Convolutional Neural Networks
J Jiménez, M Skalic, G Martinez-Rosell, G De Fabritiis
Journal of chemical information and modeling 58 (2), 287-296, 2018
7522018
SUPPA2: fast, accurate, and uncertainty-aware differential splicing analysis across multiple conditions
JL Trincado, JC Entizne, G Hysenaj, B Singh, M Skalic, DJ Elliott, E Eyras
Genome biology 19, 1-11, 2018
4252018
Shape-based generative modeling for de novo drug design
M Skalic, J Jiménez, D Sabbadin, G De Fabritiis
Journal of chemical information and modeling 59 (3), 1205-1214, 2019
2092019
From target to drug: generative modeling for the multimodal structure-based ligand design
M Skalic, D Sabbadin, B Sattarov, S Sciabola, G De Fabritiis
Molecular pharmaceutics 16 (10), 4282-4291, 2019
1092019
LigVoxel: inpainting binding pockets using 3D-convolutional neural networks
M Skalic, A Varela-Rial, J Jiménez, G Martínez-Rosell, G De Fabritiis
Bioinformatics 35 (2), 243-250, 2019
662019
Coloring molecules with explainable artificial intelligence for preclinical relevance assessment
J Jiménez-Luna, M Skalic, N Weskamp, G Schneider
Journal of Chemical Information and Modeling 61 (3), 1083-1094, 2021
652021
PlayMolecule BindScope: large scale CNN-based virtual screening on the web
M Skalic, G Martínez-Rosell, J Jiménez, G De Fabritiis
Bioinformatics 35 (7), 1237-1238, 2019
552019
Building a size constrained predictive model for video classification
M Skalic, D Austin
Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018
262018
Benchmarking molecular feature attribution methods with activity cliffs
J Jiménez-Luna, M Skalic, N Weskamp
Journal of Chemical Information and Modeling 62 (2), 274-283, 2022
222022
The inclusive images competition
J Atwood, Y Halpern, P Baljekar, E Breck, D Sculley, P Ostyakov, ...
The NeurIPS'18 Competition: From Machine Learning to Intelligent …, 2020
222020
Transcriptomics unravels the adaptive molecular mechanisms of Brettanomyces bruxellensis under SO2 stress in wine condition
F Valdetara, M Škalič, D Fracassetti, M Louw, C Compagno, M Du Toit, ...
Food microbiology 90, 103483, 2020
142020
Deep learning methods for efficient large scale video labeling
M Skalic, M Pekalski, XE Pan
arXiv preprint arXiv:1706.04572, 2017
142017
Fast and accurate differential splicing analysis across multiple conditions with replicates
JC Entizne, JL Trincado, G Hysenaj, B Singh, M Skalic, DJ Elliott, E Eyras
bioRxiv, 086876, 2016
32016
The Inclusive Images Competition
D Sculley, E Breck, I Ivanov, J Atwood, M Skalic, P Baljekar, P Ostyakov, ...
22019
Deep learning for drug design: modeling molecular shapes
M Skalic
Universitat Pompeu Fabra, 2019
12019
Multi-task ADME/PK Prediction at Industrial Scale: Leveraging Large and Diverse Experimental Datasets
M Walter, JM Borghardt, L Humbeck, M Skalic
2024
Benchmarking molecular feature attribution methods with activity cliffs
JJ Luna, M Skalic, N Weskamp
2021
Learning to Localize Temporal Events in Large-scale Video Data
M Bober-Irizar, M Skalic, D Austin
arXiv preprint arXiv:1910.11631, 2019
2019
SUPPA2: fast, accurate, and uncertainty-aware differential splicing analysis across multiple conditions
JL Trincado Alonso, JC Entizne, G Hysenaj, B Singh, M Skalic, D Elliott, ...
Genome Biology. 2018 Dec; 19 (1): 40, 2018
2018
Deep Learning Methods for Efficient Large Scale Video Labeling
M Pękalski, X Pan, M Skalic
2017
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論文 1–20