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Shahid Akbar

Showing results (11-20 of 31) with videos related to

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Journal of Computer-Aided Molecular Design|May 25, 2019
DP-BINDER: machine learning model for prediction of DNA-binding proteins by fusing evolutionary and physicochemical informationFarman Ali, Saeed Ahmed, Zar Nawab Khan Swati, et al.
Artificial Intelligence in Medicine|September 13, 2022
cACP-DeepGram: Classification of anticancer peptides via deep neural network and skip-gram-based word embedding modelShahid Akbar, Maqsood Hayat, Muhammad Tahir, et al.
BMC Bioinformatics|August 4, 2024
StackedEnC-AOP: prediction of antioxidant proteins using transform evolutionary and sequential features based multi-scale vector with stacked ensemble learningGul Rukh, Shahid Akbar, Gauhar Rehman, et al.
Briefings in Bioinformatics|January 23, 2025
TargetCLP: clathrin proteins prediction combining transformed and evolutionary scale modeling-based multi-view features via weighted feature integration approachMatee Ullah, Shahid Akbar, Ali Raza, et al.
Comptes Rendus Biologies|November 20, 2013
Efficient regeneration for enhanced steviol glycosides production in Stevia rebaudiana (Bertoni)Nazish Aman, Fazal Hadi, Shahid Akbar Khalil, et al.
Accounts of Chemical Research|September 12, 2025
Two-Dimensional Electrically Conductive Metal-Organic Frameworks: Insights and Guidelines from TheoryShogo Nakaza, Yuliang Shi, Zeyu Zhang, et al.
ACS Omega|August 25, 2025
DeepAIPs-SFLA: Deep Convolutional Model for Prediction of Anti-Inflammatory Peptides Using Binary Pattern Decomposition of Novel Multiview Descriptors with an SFLA ApproachShahid Akbar, Ali Raza, Wajdi Alghamdi, et al.
BMC Biology|February 12, 2026
Deep capsule neural network for identifying anticancer peptides using sequence to image transformation-based local embedded featuresShahid Akbar, Ali Raza, Matee Ullah, et al.
Iscience|December 24, 2025
Identifying protein succinylation sites using generative transformer and a two-dimensional representation with a deep capsule networkShahid Akbar, Ali Raza, Wajdi Alghamdi, et al.
Journal of Chemical Information and Modeling|October 31, 2023
AIPs-SnTCN: Predicting Anti-Inflammatory Peptides Using fastText and Transformer Encoder-Based Hybrid Word Embedding with Self-Normalized Temporal Convolutional NetworksAli Raza, Jamal Uddin, Abdullah Almuhaimeed, et al.
Pageof 4

Showing results (11-20 of 31) with videos related to

Sort By:
Pageof 4
Journal of Computer-Aided Molecular Design|May 25, 2019
DP-BINDER: machine learning model for prediction of DNA-binding proteins by fusing evolutionary and physicochemical informationFarman Ali, Saeed Ahmed, Zar Nawab Khan Swati, et al.
Artificial Intelligence in Medicine|September 13, 2022
cACP-DeepGram: Classification of anticancer peptides via deep neural network and skip-gram-based word embedding modelShahid Akbar, Maqsood Hayat, Muhammad Tahir, et al.
BMC Bioinformatics|August 4, 2024
StackedEnC-AOP: prediction of antioxidant proteins using transform evolutionary and sequential features based multi-scale vector with stacked ensemble learningGul Rukh, Shahid Akbar, Gauhar Rehman, et al.
Briefings in Bioinformatics|January 23, 2025
TargetCLP: clathrin proteins prediction combining transformed and evolutionary scale modeling-based multi-view features via weighted feature integration approachMatee Ullah, Shahid Akbar, Ali Raza, et al.
Comptes Rendus Biologies|November 20, 2013
Efficient regeneration for enhanced steviol glycosides production in Stevia rebaudiana (Bertoni)Nazish Aman, Fazal Hadi, Shahid Akbar Khalil, et al.
Accounts of Chemical Research|September 12, 2025
Two-Dimensional Electrically Conductive Metal-Organic Frameworks: Insights and Guidelines from TheoryShogo Nakaza, Yuliang Shi, Zeyu Zhang, et al.
ACS Omega|August 25, 2025
DeepAIPs-SFLA: Deep Convolutional Model for Prediction of Anti-Inflammatory Peptides Using Binary Pattern Decomposition of Novel Multiview Descriptors with an SFLA ApproachShahid Akbar, Ali Raza, Wajdi Alghamdi, et al.
BMC Biology|February 12, 2026
Deep capsule neural network for identifying anticancer peptides using sequence to image transformation-based local embedded featuresShahid Akbar, Ali Raza, Matee Ullah, et al.
Iscience|December 24, 2025
Identifying protein succinylation sites using generative transformer and a two-dimensional representation with a deep capsule networkShahid Akbar, Ali Raza, Wajdi Alghamdi, et al.
Journal of Chemical Information and Modeling|October 31, 2023
AIPs-SnTCN: Predicting Anti-Inflammatory Peptides Using fastText and Transformer Encoder-Based Hybrid Word Embedding with Self-Normalized Temporal Convolutional NetworksAli Raza, Jamal Uddin, Abdullah Almuhaimeed, et al.
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