Yaser Daanial Khan

Orcid: 0000-0002-2482-275X

According to our database1, Yaser Daanial Khan authored at least 23 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Deep-Ace: LSTM-based Prokaryotic Lysine Acetylation Site Predictor.
CoRR, 2024

m1A-Ensem: accurate identification of 1-methyladenosine sites through ensemble models.
BioData Min., 2024

2023
BBB-PEP-prediction: improved computational model for identification of blood-brain barrier peptides using blending position relative composition specific features and ensemble modeling.
J. Cheminformatics, December, 2023

DeepBCE: Evaluation of deep learning models for identification of immunogenic B-cell epitopes.
Comput. Biol. Chem., June, 2023

2022
iPhosS(Deep)-PseAAC: Identification of Phosphoserine Sites in Proteins Using Deep Learning on General Pseudo Amino Acid Compositions.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

ORI-Deep: improving the accuracy for predicting origin of replication sites by using a blend of features and long short-term memory network.
Briefings Bioinform., 2022

LBCEPred: a machine learning model to predict linear B-cell epitopes.
Briefings Bioinform., 2022

2021
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 Composition.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021

Using CHOU'S 5-Steps Rule to Predict O-Linked Serine Glycosylation Sites by Blending Position Relative Features and Statistical Moment.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021

βLact-Pred: A Predictor Developed for Identification of Beta-Lactamases Using Statistical Moments and PseAAC via 5-Step Rule.
Comput. Intell. Neurosci., 2021

ProtoPred: Advancing Oncological Research Through Identification of Proto-Oncogene Proteins.
IEEE Access, 2021

2020


CanLect-Pred: A Cancer Therapeutics Tool for Prediction of Target Cancerlectins Using Experiential Annotated Proteomic Sequences.
IEEE Access, 2020

2019
Revelation of enzyme activity of mutant pyrazinamidases from <i>Mycobacterium tuberculosis</i> upon binding with various metals using quantum mechanical approach.
Comput. Biol. Chem., 2019

A Scale and Rotation Invariant Urdu Nastalique Ligature Recognition Using Cascade Forward Backpropagation Neural Network.
IEEE Access, 2019

2018
An exposition of facial expression recognition techniques.
Neural Comput. Appl., 2018

A treatise to vision enhancement and color fusion techniques in night vision devices.
Multim. Tools Appl., 2018

A Comprehensive Comparative Analysis on Energy Efficient Approaches in SDN.
Proceedings of the 2nd International Conference on Information System and Data Mining, 2018

2016
A survey on search results diversification techniques.
Neural Comput. Appl., 2016

2014
Content-based image retrieval using extroverted semantics: a probabilistic approach.
Neural Comput. Appl., 2014

Situation recognition using image moments and recurrent neural networks.
Neural Comput. Appl., 2014

Petri net-based modeling and control of the multi-elevator systems.
Neural Comput. Appl., 2014


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