Farman Ali (Majdi Khalid)

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 11

Top Topics

Convolutional Neural Network

Binding Protein

Machine Learning

Placebo Controlled

Top Venues

Journal of chemical information and modeling

Archives of computational methods in engineering : state of the art reviews

Computational intelligence and neuroscience

Journal of biomolecular structure & dynamics

This page only lists publications with an associated author ORCID identifier.

Publications

Farman Ali, Farman Ali, Wajdi Alghamdi, Abdulrahman Alzahrani, Raed Alsini, Ahmed Alzahrani
An ensemble computational model for prediction of clathrin protein by coupling machine learning with discrete cosine transform. Journal of biomolecular structure & dynamics (2024)
Adnan Khan, Jamal Uddin, Farman Ali, Harish Kumar, Wajdi Alghamdi, Aftab Ahmad
AFP-SPTS: An Accurate Prediction of Antifreeze Proteins Using Sequential and Pseudo-Tri-Slicing Evolutionary Features with an Extremely Randomized Tree. Journal of chemical information and modeling (2023)
Farman Ali, Harish Kumar, Wajdi Alghamdi, Faris A Kateb, Fawaz Khaled Alarfaj
Recent Advances in Machine Learning-Based Models for Prediction of Antiviral Peptides. Archives of computational methods in engineering : state of the art reviews (2023)
Farman Ali, Harish Kumar, Wajdi Alghamdi, Faris A Kateb, Fawaz Khaled Alarfaj
Recent Advances in Machine Learning-Based Models for Prediction of Antiviral Peptides. Archives of computational methods in engineering : state of the art reviews (2023)
Adnan Khan, Jamal Uddin, Farman Ali, Harish Kumar, Wajdi Alghamdi, Aftab Ahmad
AFP-SPTS: An Accurate Prediction of Antifreeze Proteins Using Sequential and Pseudo-Tri-Slicing Evolutionary Features with an Extremely Randomized Tree. Journal of chemical information and modeling 63 (3) (2023)
Adnan Khan, Jamal Uddin, Farman Ali, Harish Kumar, Wajdi Alghamdi, Aftab Ahmad
AFP-SPTS: An Accurate Prediction of Antifreeze Proteins Using Sequential and Pseudo-Tri-Slicing Evolutionary Features with an Extremely Randomized Tree. Journal of chemical information and modeling 63 (3) (2023)
Adnan Khan, Jamal Uddin, Farman Ali, Harish Kumar, Wajdi Alghamdi, Aftab Ahmad
AFP-SPTS: An Accurate Prediction of Antifreeze Proteins Using Sequential and Pseudo-Tri-Slicing Evolutionary Features with an Extremely Randomized Tree. Journal of chemical information and modeling 63 (3) (2023)
Adnan Khan, Jamal Uddin, Farman Ali, Harish Kumar, Wajdi Alghamdi, Aftab Ahmad
AFP-SPTS: An Accurate Prediction of Antifreeze Proteins Using Sequential and Pseudo-Tri-Slicing Evolutionary Features with an Extremely Randomized Tree. Journal of chemical information and modeling (2023)
Farman Ali, Omar Barukab, Ajay B Gadicha, Shruti Patil, Omar Alghushairy, Akram Y Sarhan
DBP-iDWT: Improving DNA-Binding Proteins Prediction Using Multi-Perspective Evolutionary Profile and Discrete Wavelet Transform. Computational intelligence and neuroscience 2022 (2022)
Omar Barukab, Farman Ali, Sher Afzal Khan
DBP-GAPred: An intelligent method for prediction of DNA-binding proteins types by enhanced evolutionary profile features with ensemble learning. Journal of bioinformatics and computational biology 19 (4) (2021)
Farman Ali, Saeed Ahmed, Zar Nawab Khan Swati, Shahid Akbar
DP-BINDER: machine learning model for prediction of DNA-binding proteins by fusing evolutionary and physicochemical information. Journal of computer-aided molecular design 33 (7) (2019)