Author

Nouman Rasool

FSS - Cited by 2,136 - Forensic Science - Forensic DNA Analysis - Computational Biology

Biography

Nouman Rasool was born in Punjab, Pakistan, in 1987. He received the B.Sc. degree in electronic engineering from the University of Engineering and Technology (UET) Taxila, Taxila, Pakistan, in 2011, and the M.Sc. degree in electronics engineering from the University of Electronics Science and Technology of China (UESTC), Chengdu, China, in 2015. He is currently pursuing the Ph.D. degree in electronics and information systems with Sichuan University. Since 2016, he has been with the School of Electronics and Information Engineering, Sichuan University, Chengdu. 
Title
Cited by
Year
pSSbond-PseAAC: Prediction of disulfide bonding sites by integration of PseAAC and statistical moments
YD Khan, M Jamil, W Hussain, N Rasool, SA Khan, KC ChouJournal of theoretical biology 463, 47-55, 2019201
81
2019
Predicting membrane proteins and their types by extracting various sequence features into Chou’s general PseAAC
AH Butt, N Rasool, YD KhanMolecular biology reports 45, 2295-2306, 2018201
62
2018
Optimization of serine phosphorylation prediction in proteins by comparing human engineered features and deep representations
S Naseer, W Hussain, YD Khan, N RasoolAnalytical Biochemistry 615, 114069, 2021202
54
2021
NPalmitoylDeep-PseAAC: A predictor of N-palmitoylation sites in proteins using deep representations of proteins and PseAAC via modified 5-steps rule
S Naseer, W Hussain, YD Khan, N RasoolCurrent Bioinformatics 16 (2), 294-305, 2021202
51
2021
Sequence-based identification of arginine amidation sites in proteins using deep representations of proteins and PseAAC
S Naseer, W Hussain, YD Khan, N RasoolCurrent Bioinformatics 15 (8), 937-948, 2020202
51
2020
Prediction of nitrosocysteine sites using position and composition variant features
YD Khan, A Batool, N Rasool, SA Khan, KC ChouLetters in Organic Chemistry 16 (4), 283-293, 2019201
46
2019
Identification of lysine carboxylation sites in proteins by integrating statistical moments and position relative features via general PseAAC
S Amanat, A Ashraf, W Hussain, N Rasool, YD KhanCurrent Bioinformatics 15 (5), 396-407, 2020202
43
2020
Insights into Machine Learning-based approaches for Virtual Screening in Drug Discovery: Existing strategies and streamlining through FP-CADD
W Hussain, N Rasool, YD KhanCurrent Drug Discovery Technologies 18 (4), 463-472, 2021202
41
2021
iTSP-PseAAC: identifying tumor suppressor proteins by using fully connected neural network and PseAAC
M Awais, W Hussain, N Rasool, YD KhanCurrent Bioinformatics 16 (5), 700-709, 2021202
41
2021
A sequence-based predictor of Zika virus proteins developed by integration of PseAAC and statistical moments
W Hussain, N Rasool, YD KhanCombinatorial chemistry & high throughput screening 23 (8), 797-804, 2020202
38
2020
Insights into the inhibitory potential of selective phytochemicals against Mpro of 2019-nCoV: a computer-aided study
N Rasool, A Akhtar, W HussainStructural Chemistry, 2020202
31
2020
Phytochemicals from selective plants have promising potential against SARS-CoV-2: investigation and corroboration through molecular docking, MD simulations, and quantum …
K Kousar, A Majeed, F Yasmin, W Hussain, N RasoolBioMed Research International 2020, 2020202
31
2020
In Silico Computations of Selective Phytochemicals as Potential Inhibitors Against Major Biological Targets of Diabetes Mellitus
A Akhtar, A Amir, W Hussain, A Ghaffar, N RasoolCurrent Computer-Aided Drug Design 15 (5), 369, 2019201
23
2019
Computer-aided study of selective flavonoids against chikungunya virus replication using molecular docking and DFT-based approach
W Hussain, A Amir, N RasoolStructural Chemistry, 1-12, 2020202
22
2020
Revelation of enzyme activity of mutant pyrazinamidases from Mycobacterium tuberculosis upon binding with various metals using quantum mechanical approach
N Rasool, W Husssain, YD KhanComputational biology and chemistry 83, 107108, 191
20
2019
Probing the pharmacological binding properties, and reactivity of selective phytochemicals as potential HIV-1 protease inhibitors
A Akhtar, W Hussain, N RasoolUniversitas Scientiarum 24 (3), 441-464, 202
19
2019
Virtual screening of phytochemicals by targeting HR1 domain of SARS-CoV-2 S protein: molecular docking, molecular dynamics simulations, and DFT studies
A Majeed, W Hussain, F Yasmin, A Akhtar, N RasoolBioMed Research International 2021, 1-19, 2021202
18
2021
In silico inhibition of BACE-1 by selective phytochemicals as novel potential inhibitors: molecular docking and DFT studies
N Arif, A Subhani, W Hussain, N RasoolCurrent Drug Discovery Technologies (3), 397-411, 2020202
17
2020
Biological perspective of thiazolide derivatives against Mpro and MTase of SARS-CoV-2: Molecular docking, DFT and MD simulation investigations
N Rasool, F Yasmin, S Sahai, W Hussain, H Inam, A ArshadChemical physics letters 771, 138463, 2021202
16
2021
Three major phosphoacceptor sites in HIV-1 capsid protein enhances its structural stability and resistance against the inhibitor: explication through molecular dynamics …
N Rasool, W HussainCombinatorial Chemistry & High Throughput Screening 23 (1), 41-54, 2020202
15
2020

Referred From: https://scholar.google.com.pk/citations?user=4SG_XZ4AAAAJ&hl=en

Cited by
Citations 2136
h-index 26
i10-index 46
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