KWOH Chee Keong

Appointment: Associate Professor

Research topics:

• Machine Learning and Statistical Inference
• Learning with Unlabeled Data
• Meta and Ensemble learning
• Ontology for Knowledge Representation

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871 to 880 of 888 Results

Additional files for: Computational analysis of the receptor binding specificity of novel influenza A/H7N9 viruses. Mar 22, 2019 - AcRF Tier 2 Influenza Zhou, Xinrui; Zheng, Jie; Ivan, Fransiskus Xaverius; Yin, Rui; Shoba Ranganathan; Chow, Vincent T. K.; Kwoh, Chee-Keong, 2019, "Additional files for: Computational analysis of the receptor binding specificity of novel influenza A/H7N9 viruses.", https://doi.org/10.21979/N9/TQEOP6, DR-NTU (Data), V1 BACKGROUND: Influenza viruses are undergoing continuous and rapid evolution. The fatal influenza A/H7N9 has drawn attention since the first wave of infections in March 2013 and raised more grave concerns with its increased potential to spread among humans. Experimental studies ha...
Additional file 1.pdf Mar 22, 2019 - Additional files for: Computational analysis of the receptor binding specificity of novel influenza A/H7N9 viruses. Adobe PDF - 117.4 KB - MD5: 7dde51d3fa705019bbf92e5017f057bd Phylogenetic trees of influenza A/H7N9. Time scale phylogenetic trees of PB2, PB1, PA, HA, NP, NA, M1 and NS1 genes of influenza H7N9 strain.
Additional file 2.pdf Mar 22, 2019 - Additional files for: Computational analysis of the receptor binding specificity of novel influenza A/H7N9 viruses. Adobe PDF - 466.8 KB - MD5: b008295a026bd26d374895e3beef8c4a Superimpose the best and worst docked HA-ligand complexes. Visualize the structure of docked SH13-LSTa, SH13-LSTc, TW17-LSTa and TW17-LSTc complexes with the highest and the lowest binding affinities.
Additional file 3.pdf Mar 22, 2019 - Additional files for: Computational analysis of the receptor binding specificity of novel influenza A/H7N9 viruses. Adobe PDF - 702.3 KB - MD5: 4479f3368ea15c9a21c9aab5bb4b8e93 VdW energy, electrostatic energy and total interaction energy of SH13-LSTa, SH13-LSTc, TW17-LSTa and TW17-LSTc during the whole simulation (50 ns).
Additional file 4.pdf Mar 22, 2019 - Additional files for: Computational analysis of the receptor binding specificity of novel influenza A/H7N9 viruses. Adobe PDF - 424.2 KB - MD5: 406071fc726dd2e39ef9d9e18464e718 Two rounds of 50 ns molecular dynamics simulation for SH13-LSTa, SH13-LSTc, TW17-LSTa, TW17-LSTc
Additional file 5.pdf Mar 22, 2019 - Additional files for: Computational analysis of the receptor binding specificity of novel influenza A/H7N9 viruses. Adobe PDF - 153.1 KB - MD5: 5bffd0fe476660469a28b80d928ffaf6 Residue contributions during the whole simulation process.
Additional file 6.pdf Mar 22, 2019 - Additional files for: Computational analysis of the receptor binding specificity of novel influenza A/H7N9 viruses. Adobe PDF - 24.5 KB - MD5: 7f03fe7c34e33a584ff0c79e34419e95 Average energy contribution of residues that involved in receptorligand interactions in the optimally docked complexes
Supplementary materials and Matlab code for "Rules of co-occurring mutations characterize the antigenic evolution of human influenza A/H3N2, A/H1N1 and B viruses" Mar 22, 2019 - AcRF Tier 2 Influenza Chen, Haifen; Zhou, Xinrui; Zheng, Jie; Kwoh, Chee Keong, 2019, "Supplementary materials and Matlab code for "Rules of co-occurring mutations characterize the antigenic evolution of human influenza A/H3N2, A/H1N1 and B viruses"", https://doi.org/10.21979/N9/H73L8Y, DR-NTU (Data), V1 Background The human influenza viruses undergo rapid evolution (especially in hemagglutinin (HA), a glycoprotein on the surface of the virus), which enables the virus population to constantly evade the human immune system. Therefore, the vaccine has to be updated every year to st...
BMCMG-S3-S1.pdf Mar 22, 2019 - Supplementary materials and Matlab code for "Rules of co-occurring mutations characterize the antigenic evolution of human influenza A/H3N2, A/H1N1 and B viruses" Adobe PDF - 673.8 KB - MD5: d2c818ed77ad4edcc986e93f69462159
BMCMG-S3-S2.pdf Mar 22, 2019 - Supplementary materials and Matlab code for "Rules of co-occurring mutations characterize the antigenic evolution of human influenza A/H3N2, A/H1N1 and B viruses" Adobe PDF - 511.1 KB - MD5: d0c2b1d0de46e7b1fb304b3eb4dea131

Additional files for: Computational analysis of the receptor binding specificity of novel influenza A/H7N9 viruses.

Mar 22, 2019 - AcRF Tier 2 Influenza

Zhou, Xinrui; Zheng, Jie; Ivan, Fransiskus Xaverius; Yin, Rui; Shoba Ranganathan; Chow, Vincent T. K.; Kwoh, Chee-Keong, 2019, "Additional files for: Computational analysis of the receptor binding specificity of novel influenza A/H7N9 viruses.", https://doi.org/10.21979/N9/TQEOP6, DR-NTU (Data), V1

BACKGROUND: Influenza viruses are undergoing continuous and rapid evolution. The fatal influenza A/H7N9 has drawn attention since the first wave of infections in March 2013 and raised more grave concerns with its increased potential to spread among humans. Experimental studies ha...

Additional file 1.pdf

Mar 22, 2019 - Additional files for: Computational analysis of the receptor binding specificity of novel influenza A/H7N9 viruses.

Adobe PDF - 117.4 KB -

Phylogenetic trees of influenza A/H7N9. Time scale phylogenetic trees of PB2, PB1, PA, HA, NP, NA, M1 and NS1 genes of influenza H7N9 strain.

Additional file 2.pdf

Mar 22, 2019 - Additional files for: Computational analysis of the receptor binding specificity of novel influenza A/H7N9 viruses.

Adobe PDF - 466.8 KB -

Superimpose the best and worst docked HA-ligand complexes. Visualize the structure of docked SH13-LSTa, SH13-LSTc, TW17-LSTa and TW17-LSTc complexes with the highest and the lowest binding affinities.

Additional file 3.pdf

Mar 22, 2019 - Additional files for: Computational analysis of the receptor binding specificity of novel influenza A/H7N9 viruses.

Adobe PDF - 702.3 KB -

VdW energy, electrostatic energy and total interaction energy of SH13-LSTa, SH13-LSTc, TW17-LSTa and TW17-LSTc during the whole simulation (50 ns).

Additional file 4.pdf

Mar 22, 2019 - Additional files for: Computational analysis of the receptor binding specificity of novel influenza A/H7N9 viruses.

Adobe PDF - 424.2 KB -

Two rounds of 50 ns molecular dynamics simulation for SH13-LSTa, SH13-LSTc, TW17-LSTa, TW17-LSTc

Additional file 5.pdf

Mar 22, 2019 - Additional files for: Computational analysis of the receptor binding specificity of novel influenza A/H7N9 viruses.

Adobe PDF - 153.1 KB -

Residue contributions during the whole simulation process.

Additional file 6.pdf

Mar 22, 2019 - Additional files for: Computational analysis of the receptor binding specificity of novel influenza A/H7N9 viruses.

Adobe PDF - 24.5 KB -

Average energy contribution of residues that involved in receptorligand interactions in the optimally docked complexes

Supplementary materials and Matlab code for "Rules of co-occurring mutations characterize the antigenic evolution of human influenza A/H3N2, A/H1N1 and B viruses"

Mar 22, 2019 - AcRF Tier 2 Influenza

Chen, Haifen; Zhou, Xinrui; Zheng, Jie; Kwoh, Chee Keong, 2019, "Supplementary materials and Matlab code for "Rules of co-occurring mutations characterize the antigenic evolution of human influenza A/H3N2, A/H1N1 and B viruses"", https://doi.org/10.21979/N9/H73L8Y, DR-NTU (Data), V1

Background The human influenza viruses undergo rapid evolution (especially in hemagglutinin (HA), a glycoprotein on the surface of the virus), which enables the virus population to constantly evade the human immune system. Therefore, the vaccine has to be updated every year to st...

BMCMG-S3-S1.pdf

Mar 22, 2019 - Supplementary materials and Matlab code for "Rules of co-occurring mutations characterize the antigenic evolution of human influenza A/H3N2, A/H1N1 and B viruses"

Adobe PDF - 673.8 KB -

BMCMG-S3-S2.pdf

Mar 22, 2019 - Supplementary materials and Matlab code for "Rules of co-occurring mutations characterize the antigenic evolution of human influenza A/H3N2, A/H1N1 and B viruses"

Adobe PDF - 511.1 KB -

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