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Wesley De Neve

Showing results (11-20 of 24) with videos related to

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Computational and Structural Biotechnology Journal|April 25, 2025
ToxDL 2.0: Protein toxicity prediction using a pretrained language model and graph neural networksLin Zhu, Yi Fang, Shuting Liu, et al.
Pharmaceuticals (Basel, Switzerland)|March 26, 2022
Rethinking Protein Drug Design with Highly Accurate Structure Prediction of Anti-CRISPR ProteinsHo-Min Park, Yunseol Park, Joris Vankerschaver, et al.
Physical Review Letters|March 24, 2020
Restricted Boltzmann Machines for Quantum States with Non-Abelian or Anyonic SymmetriesTom Vieijra, Corneel Casert, Jannes Nys, et al.
Bioinformatics (Oxford, England)|July 22, 2020
ToxDL: deep learning using primary structure and domain embeddings for assessing protein toxicityXiaoyong Pan, Jasper Zuallaert, Xi Wang, et al.
Biology Direct|October 7, 2022
In silico optimization of RNA-protein interactions for CRISPR-Cas13-based antimicrobialsHo-Min Park, Yunseol Park, Urta Berani, et al.
Plos Neglected Tropical Diseases|July 3, 2025
Detecting soil-transmitted helminth and Schistosoma mansoni eggs in Kato-Katz stool smear microscopy images: A comprehensive in- and out-of-distribution evaluation of YOLOv7 variantsMohammed Aliy Mohammed, Esla Timothy Anzaku, Peter Kenneth Ward, et al.
ACS Applied Materials & Interfaces|July 16, 2019
Electrochromic Photodetectors: Toward Smarter Glasses and Nano Reflective Displays via an Electrolytic MechanismZhenyin Hai, Mohammad Karbalaei Akbari, Zihan Wei, et al.
BMC Bioinformatics|April 25, 2023
CRISPR-Cas-Docker: web-based in silico docking and machine learning-based classification of crRNAs with Cas proteinsHo-Min Park, Jongbum Won, Yunseol Park, et al.
Plos One|June 15, 2022
MP-Net: Deep learning-based segmentation for fluorescence microscopy images of microplastics isolated from clamsHo-Min Park, Sanghyeon Park, Maria Krishna de Guzman, et al.
Molecular Pharmaceutics|April 24, 2026
Predicting Agitation Stability of Monoclonal Antibodies during Developability AssessmentMichaela Cohrs, Nevena Pagureva, Utku Ozbulak, et al.
Pageof 3

Showing results (11-20 of 24) with videos related to

Sort By:
Pageof 3
Computational and Structural Biotechnology Journal|April 25, 2025
ToxDL 2.0: Protein toxicity prediction using a pretrained language model and graph neural networksLin Zhu, Yi Fang, Shuting Liu, et al.
Pharmaceuticals (Basel, Switzerland)|March 26, 2022
Rethinking Protein Drug Design with Highly Accurate Structure Prediction of Anti-CRISPR ProteinsHo-Min Park, Yunseol Park, Joris Vankerschaver, et al.
Physical Review Letters|March 24, 2020
Restricted Boltzmann Machines for Quantum States with Non-Abelian or Anyonic SymmetriesTom Vieijra, Corneel Casert, Jannes Nys, et al.
Bioinformatics (Oxford, England)|July 22, 2020
ToxDL: deep learning using primary structure and domain embeddings for assessing protein toxicityXiaoyong Pan, Jasper Zuallaert, Xi Wang, et al.
Biology Direct|October 7, 2022
In silico optimization of RNA-protein interactions for CRISPR-Cas13-based antimicrobialsHo-Min Park, Yunseol Park, Urta Berani, et al.
Plos Neglected Tropical Diseases|July 3, 2025
Detecting soil-transmitted helminth and Schistosoma mansoni eggs in Kato-Katz stool smear microscopy images: A comprehensive in- and out-of-distribution evaluation of YOLOv7 variantsMohammed Aliy Mohammed, Esla Timothy Anzaku, Peter Kenneth Ward, et al.
ACS Applied Materials & Interfaces|July 16, 2019
Electrochromic Photodetectors: Toward Smarter Glasses and Nano Reflective Displays via an Electrolytic MechanismZhenyin Hai, Mohammad Karbalaei Akbari, Zihan Wei, et al.
BMC Bioinformatics|April 25, 2023
CRISPR-Cas-Docker: web-based in silico docking and machine learning-based classification of crRNAs with Cas proteinsHo-Min Park, Jongbum Won, Yunseol Park, et al.
Plos One|June 15, 2022
MP-Net: Deep learning-based segmentation for fluorescence microscopy images of microplastics isolated from clamsHo-Min Park, Sanghyeon Park, Maria Krishna de Guzman, et al.
Molecular Pharmaceutics|April 24, 2026
Predicting Agitation Stability of Monoclonal Antibodies during Developability AssessmentMichaela Cohrs, Nevena Pagureva, Utku Ozbulak, et al.
Pageof 3