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Showing results (31-40 of 55) with videos related to

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Frontiers in Bioinformatics|August 26, 2024
Editorial: Machine learning approaches to antimicrobials: discovery and resistanceShira L Broschat, Shirley W I Siu, Cesar de la Fuente-Nunez
Journal of Cheminformatics|November 28, 2021
Chemical toxicity prediction based on semi-supervised learning and graph convolutional neural networkJiarui Chen, Yain-Whar Si, Chon-Wai Un, et al.
Journal of Cheminformatics|February 10, 2026
Enzyformer: a two-stage pretrained model for enzymatic retrosynthesisTiantao Liu, Jiangcheng Xu, Xinke Zhan, et al.
Peritoneal Dialysis International : Journal of the International Society for Peritoneal Dialysis|January 1, 1994
Stability of erythromycin lactobionate in peritoneal dialysate solutionsM P Kane, G R Bailie, D G Moon, et al.
Computers in Biology and Medicine|June 25, 2022
Multi-Branch-CNN: Classification of ion channel interacting peptides using multi-branch convolutional neural networkJielu Yan, Bob Zhang, Mingliang Zhou, et al.
Msystems|July 11, 2023
A deep learning method for predicting the minimum inhibitory concentration of antimicrobial peptides against <i>Escherichia coli</i> using Multi-Branch-CNN and AttentionJielu Yan, Bob Zhang, Mingliang Zhou, et al.
Journal of Molecular Modeling|March 3, 2010
Contribution of charged and polar residues for the formation of the E1-E2 heterodimer from Hepatitis C VirusSiti Azma Jusoh, Christoph Welsch, Shirley W I Siu, et al.
Antibiotics (Basel, Switzerland)|October 27, 2022
Recent Progress in the Discovery and Design of Antimicrobial Peptides Using Traditional Machine Learning and Deep LearningJielu Yan, Jianxiu Cai, Bob Zhang, et al.
Stem Cell Research & Therapy|June 20, 2020
Novel venom-based peptides (P13 and its derivative-M6) to maintain self-renewal of human embryonic stem cells by activating FGF and TGFβ signaling pathwaysRui Ma, Zhili Ren, Bin Li, et al.
Journal of Chemical Information and Modeling|March 14, 2025
BERT-AmPEP60: A BERT-Based Transfer Learning Approach to Predict the Minimum Inhibitory Concentrations of Antimicrobial Peptides for <i>Escherichia coli</i> and <i>Staphylococcus aureus</i>Jianxiu Cai, Jielu Yan, Chonwai Un, et al.
Pageof 6

Showing results (31-40 of 55) with videos related to

Sort By:
Pageof 6
Frontiers in Bioinformatics|August 26, 2024
Editorial: Machine learning approaches to antimicrobials: discovery and resistanceShira L Broschat, Shirley W I Siu, Cesar de la Fuente-Nunez
Journal of Cheminformatics|November 28, 2021
Chemical toxicity prediction based on semi-supervised learning and graph convolutional neural networkJiarui Chen, Yain-Whar Si, Chon-Wai Un, et al.
Journal of Cheminformatics|February 10, 2026
Enzyformer: a two-stage pretrained model for enzymatic retrosynthesisTiantao Liu, Jiangcheng Xu, Xinke Zhan, et al.
Peritoneal Dialysis International : Journal of the International Society for Peritoneal Dialysis|January 1, 1994
Stability of erythromycin lactobionate in peritoneal dialysate solutionsM P Kane, G R Bailie, D G Moon, et al.
Computers in Biology and Medicine|June 25, 2022
Multi-Branch-CNN: Classification of ion channel interacting peptides using multi-branch convolutional neural networkJielu Yan, Bob Zhang, Mingliang Zhou, et al.
Msystems|July 11, 2023
A deep learning method for predicting the minimum inhibitory concentration of antimicrobial peptides against <i>Escherichia coli</i> using Multi-Branch-CNN and AttentionJielu Yan, Bob Zhang, Mingliang Zhou, et al.
Journal of Molecular Modeling|March 3, 2010
Contribution of charged and polar residues for the formation of the E1-E2 heterodimer from Hepatitis C VirusSiti Azma Jusoh, Christoph Welsch, Shirley W I Siu, et al.
Antibiotics (Basel, Switzerland)|October 27, 2022
Recent Progress in the Discovery and Design of Antimicrobial Peptides Using Traditional Machine Learning and Deep LearningJielu Yan, Jianxiu Cai, Bob Zhang, et al.
Stem Cell Research & Therapy|June 20, 2020
Novel venom-based peptides (P13 and its derivative-M6) to maintain self-renewal of human embryonic stem cells by activating FGF and TGFβ signaling pathwaysRui Ma, Zhili Ren, Bin Li, et al.
Journal of Chemical Information and Modeling|March 14, 2025
BERT-AmPEP60: A BERT-Based Transfer Learning Approach to Predict the Minimum Inhibitory Concentrations of Antimicrobial Peptides for <i>Escherichia coli</i> and <i>Staphylococcus aureus</i>Jianxiu Cai, Jielu Yan, Chonwai Un, et al.
Pageof 6