Suchergebnisse - "Rasool, Nouman"

PubPharm (7)

1

iPhosS(Deep)-PseAAC : Identification of Phosphoserine Sites in Proteins Using Deep Learning on General Pseudo Amino Acid Compositions

enthalten in: IEEE/ACM transactions on computational biology and bioinformatics | 2022

von Naseer, S. | Hussain, W. | Khan, Y. | +1

2

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

enthalten in: IEEE/ACM transactions on computational biology and bioinformatics | 2021

von Awais, M. | Hussain, W. | Khan, Y. | +3

3

Optimization of serine phosphorylation prediction in proteins by comparing human engineered features and deep representations

enthalten in: Analytical biochemistry | 2021

von Naseer, S. | Hussain, W. | Khan, Y. | +1

4

iProtease-PseAAC(2L) : A two-layer predictor for identifying proteases and their types using Chou's 5-step-rule and general PseAAC

enthalten in: Analytical biochemistry | 2020

von Khan, Y. | Amin, N. | Hussain, W. | +3

5

Prediction of antioxidant proteins by incorporating statistical moments based features into Chou's PseAAC

enthalten in: Journal of theoretical biology | 2019

von Butt, A. | Rasool, N. | Khan, Y.

6

pSSbond-PseAAC : Prediction of disulfide bonding sites by integration of PseAAC and statistical moments

enthalten in: Journal of theoretical biology | 2019

von Khan, Y. | Jamil, M. | Hussain, W. | +3

7

pNitro-Tyr-PseAAC : Predict Nitrotyrosine Sites in Proteins by Incorporating Five Features into Chou's General PseAAC

enthalten in: Current pharmaceutical design | 2018

von Ghauri, A. | Khan, Y. | Rasool, N. | +2

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