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Nouman Rasool

Showing results (31-40 of 42) with videos related to

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Biomed Research International|March 12, 2016
A Prediction Model for Membrane Proteins Using Moments Based FeaturesAhmad Hassan Butt, Sher Afzal Khan, Hamza Jamil, et al.
Analytical Biochemistry|April 29, 2018
iPhosT-PseAAC: Identify phosphothreonine sites by incorporating sequence statistical moments into PseAACYaser Daanial Khan, Nouman Rasool, Waqar Hussain, et al.
Molecular Biology Reports|October 13, 2018
iPhosY-PseAAC: identify phosphotyrosine sites by incorporating sequence statistical moments into PseAACYaser Daanial Khan, Nouman Rasool, Waqar Hussain, et al.
Journal of Theoretical Biology|February 16, 2019
SPrenylC-PseAAC: A sequence-based model developed via Chou's 5-steps rule and general PseAAC for identifying S-prenylation sites in proteinsWaqar Hussain, Yaser Daanial Khan, Nouman Rasool, et al.
Current Pharmaceutical Design|November 28, 2018
pNitro-Tyr-PseAAC: Predict Nitrotyrosine Sites in Proteins by Incorporating Five Features into Chou's General PseAACAhmad W Ghauri, Yaser D Khan, Nouman Rasool, et al.
Analytical Biochemistry|October 27, 2019
iProtease-PseAAC(2L): A two-layer predictor for identifying proteases and their types using Chou's 5-step-rule and general PseAACYaser Daanial Khan, Najm Amin, Waqar Hussain, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|May 31, 2019
iPhosH-PseAAC: Identify Phosphohistidine Sites in Proteins by Blending Statistical Moments and Position Relative Features According to the Chou's 5-Step Rule and General Pseudo Amino Acid CompositionMuhammad Awais, Waqar Hussain, Yaser Daanial Khan, et al.
Journal of Theoretical Biology|December 15, 2018
pSSbond-PseAAC: Prediction of disulfide bonding sites by integration of PseAAC and statistical momentsYaser Daanial Khan, Mehreen Jamil, Waqar Hussain, et al.
Sensors (Basel, Switzerland)|December 31, 2025
The Adaptive Lab Mentor (ALM): An AI-Driven IoT Framework for Real-Time Personalized Guidance in Hands-On Engineering EducationMd Shakib Hasan, Awais Ahmed, Nouman Rasool, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|January 28, 2020
Using CHOU'S 5-Steps Rule to Predict O-Linked Serine Glycosylation Sites by Blending Position Relative Features and Statistical MomentMuhammad Aizaz Akmal, Waqar Hussain, Nouman Rasool, et al.
Pageof 5

Showing results (31-40 of 42) with videos related to

Sort By:
Pageof 5
Biomed Research International|March 12, 2016
A Prediction Model for Membrane Proteins Using Moments Based FeaturesAhmad Hassan Butt, Sher Afzal Khan, Hamza Jamil, et al.
Analytical Biochemistry|April 29, 2018
iPhosT-PseAAC: Identify phosphothreonine sites by incorporating sequence statistical moments into PseAACYaser Daanial Khan, Nouman Rasool, Waqar Hussain, et al.
Molecular Biology Reports|October 13, 2018
iPhosY-PseAAC: identify phosphotyrosine sites by incorporating sequence statistical moments into PseAACYaser Daanial Khan, Nouman Rasool, Waqar Hussain, et al.
Journal of Theoretical Biology|February 16, 2019
SPrenylC-PseAAC: A sequence-based model developed via Chou's 5-steps rule and general PseAAC for identifying S-prenylation sites in proteinsWaqar Hussain, Yaser Daanial Khan, Nouman Rasool, et al.
Current Pharmaceutical Design|November 28, 2018
pNitro-Tyr-PseAAC: Predict Nitrotyrosine Sites in Proteins by Incorporating Five Features into Chou's General PseAACAhmad W Ghauri, Yaser D Khan, Nouman Rasool, et al.
Analytical Biochemistry|October 27, 2019
iProtease-PseAAC(2L): A two-layer predictor for identifying proteases and their types using Chou's 5-step-rule and general PseAACYaser Daanial Khan, Najm Amin, Waqar Hussain, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|May 31, 2019
iPhosH-PseAAC: Identify Phosphohistidine Sites in Proteins by Blending Statistical Moments and Position Relative Features According to the Chou's 5-Step Rule and General Pseudo Amino Acid CompositionMuhammad Awais, Waqar Hussain, Yaser Daanial Khan, et al.
Journal of Theoretical Biology|December 15, 2018
pSSbond-PseAAC: Prediction of disulfide bonding sites by integration of PseAAC and statistical momentsYaser Daanial Khan, Mehreen Jamil, Waqar Hussain, et al.
Sensors (Basel, Switzerland)|December 31, 2025
The Adaptive Lab Mentor (ALM): An AI-Driven IoT Framework for Real-Time Personalized Guidance in Hands-On Engineering EducationMd Shakib Hasan, Awais Ahmed, Nouman Rasool, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|January 28, 2020
Using CHOU'S 5-Steps Rule to Predict O-Linked Serine Glycosylation Sites by Blending Position Relative Features and Statistical MomentMuhammad Aizaz Akmal, Waqar Hussain, Nouman Rasool, et al.
Pageof 5