N. Rasool

发表

A Prediction Model for Membrane Proteins Using Moments Based Features

Sher Afzal Khan, Ahmad Hassan Butt, Yaser Daanial Khan, 2016, BioMed research international.

Prediction of N-linked glycosylation sites using position relative features and statistical moments

Yaser Daanial Khan, Nouman Rasool, Muhammad Aizaz Akmal, 2017, PloS one.

Prediction of Protein Solubility using Primary Structure Compositional Features: A Machine Learning Perspective

Waqar Hussain, N. Rasool, S. Mahmood, 2017 .

SPalmitoylC-PseAAC: A sequence-based model developed via Chou's 5-steps rule and general PseAAC for identifying S-palmitoylation sites in proteins.

Kuo-Chen Chou, Yaser Daanial Khan, Nouman Rasool, 2019, Analytical biochemistry.

Three Major Phosphoacceptor Sites in HIV-1 Capsid Protein Enhances its Structural Stability and Resistance against Inhibitor: Explication through Molecular Dynamics Simulation, Molecular Docking and DFT Analysis.

Waqar Hussain, N. Rasool, 2019, Combinatorial chemistry & high throughput screening.

A Treatise to Computational Approaches Towards Prediction of Membrane Protein and Its Subtypes

Ahmad Hassan Butt, Yaser Daanial Khan, Nouman Rasool, 2016, The Journal of Membrane Biology.

Computational exploration of antiviral activity of phytochemicals against NS2B/NS3 proteases from dengue virus

Waqar Hussain, N. Rasool, S. Mahmood, 2018, Turkish Journal of Biochemistry.

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

Kuo-Chen Chou, Yaser Daanial Khan, Nouman Rasool, 2019, Journal of theoretical biology.

Detection and Purification Methods for Environmental Inhibitors of Polymerase Chain Reaction in Forensic DNA analysis

N. Rasool, Asad Saeed, 2020 .

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

Kuo-Chen Chou, Nouman Rasool, Ahmad W Ghauri, 2019, Current pharmaceutical design.

In silico targeting of non-structural 4B protein from dengue virus 4 with spiropyrazolopyridone: study of molecular dynamics simulation, ADMET and virtual screening

Waqar Hussain, N. Rasool, S. Mahmood, 2018, VirusDisease.

Phytochemicals from Selective Plants Have Promising Potential against SARS-CoV-2: Investigation and Corroboration through Molecular Docking, MD Simulations, and Quantum Computations

Waqar Hussain, N. Rasool, Kafila Kousar, 2020, BioMed research international.

Computer-aided study of selective flavonoids against chikungunya virus replication using molecular docking and DFT-based approach

Waqar Hussain, N. Rasool, Anam Amir, 2020, Structural Chemistry.

Gene cloning and characterization of a xylanase from a newly isolated Bacillus subtilis strain R5.

N. Rashid, M. Akhtar, N. Rasool, 2009, Journal of bioscience and bioengineering.

Computational Studies of 3D-QSAR on a Highly Active Series of Naturally Occurring Nonnucleoside Inhibitors of HIV-1 RT (NNRTI)

A. Akhtar, Waqar Hussain, N. Rasool, 2020 .

Identification of novel inhibitory candidates against two major Flavivirus pathogens via CADD protocols: in silico analysis of phytochemical binding, reactivity, and pharmacokinetics against NS5 from ZIKV and DENV

Waqar Hussain, N. Rasool, Arshia Majeed, 2020, Structural Chemistry.

Penta-1,4-Diene-3-One Oxime Derivatives Strongly Inhibit the Replicase Domain of Tobacco Mosaic Virus: Elucidation Through Molecular Docking and Density Functional Theory Mechanistic Computations

Waqar Hussain, N. Rasool, Muhammad Ali, 2018 .

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

Waqar Hussain, Y. Khan, N. Rasool, 2020, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Erroneous calculations of weight of DNA evidence may lead to miscarriage of justice in Pakistan

N. Rasool, 2019, Egyptian Journal of Forensic Sciences.

Probing the Pharmacological Parameters, Molecular Docking and Quantum Computations of Plant Derived Compounds Exhibiting Strong Inhibitory Potential Against NS5 from Zika Virus

A. Amjad, Waqar Hussain, N. Rasool, 2018 .

Recent trends in molecular epidemiology of Hepatitis C virus in Mardan, KPK Pakistan.

M. Khan, M. Wasim, M. Idrees, 2018, Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases.

Structural and quantum mechanical computations to elucidate the altered binding mechanism of metal and drug with pyrazinamidase from Mycobacterium tuberculosis due to mutagenicity.

Waqar Hussain, N. Rasool, Anam Amir, 2018, Journal of molecular graphics & modelling.

Evaluation of different methods for DNA extraction from human burnt bones and the generation of genetic profiles for identification

M. Wasim, N. Rasool, Anum Uzair, 2017, Medicine, science, and the law.

In Silico Computations Of Selective Phytochemicals As Potential Inhibitors Against Major Biological Targets Of Diabetes Mellitus.

A. Akhtar, A. Ghaffar, Waqar Hussain, 2019, Current computer-aided drug design.

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

Yaser Daanial Khan, Nouman Rasool, Waqar Hussain, 2019, Analytical biochemistry.

Proteolytic inventory of Thermococcus kodakaraensis

Q. Bashir, N. Rashid, N. Rasool, 2013 .

In silico Inhibition of BACE-1 by Selective Phytochemicals as Novel Potential Inhibitors: Molecular Docking and DFT Studies.

Waqar Hussain, N. Rasool, Nadia Arif, 2019, Current drug discovery technologies.

Computer-aided analysis of phytochemicals as potential dengue virus inhibitors based on molecular docking, ADMET and DFT studies

Waqar Hussain, N. Rasool, S. Mahmood, 2017, Journal of vector borne diseases.

Genome-wide comparison and identification of myosin gene family in Arabidopsis thaliana and Helianthusannuus

A. Abushady, M. Zaynab, S. Fiaz, 2022, Heliyon.

DNA evidence in sexual assault cases in Pakistan

N. Rasool, Muzamal Rasool, 2020, Medicine, science, and the law.

in silico discovery of potential inhibitors against Dipeptidyl Peptidase-4: A major biological target of Type-2 diabetes mellitus

Waqar Hussain, N. Rasool, Nadia Arif, 2020 .

iDRP-PseAAC: Identification of DNA Replication Proteins Using General PseAAC and Position Dependent Features

M. Awais, Waqar Hussain, N. Rasool, 2021, International Journal of Peptide Research and Therapeutics.

Genetic analysis of the Saraiki population living in Pakistan

N. Rasool, A. Nadeem, A. Jilani, 2016 .

REQUIREMENT OF PRO-PEPTIDE IN PROPER FOLDING OF SUBTILISIN-LIKE SERINE PROTEASE TK0076

N. Rashid, M. Javed, N. Rasool, 2011 .

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

Kuo-Chen Chou, Muhammad Awais, Yaser Daanial Khan, 2019, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Identification of Lysine Carboxylation Sites in Proteins by Integrating Statistical Moments and Position Relative Features via General PseAAC

Nouman Rasool, Waqar Hussain, Adeel Ashraf, 2019 .

SPrenylC-PseAAC: A sequence-based model developed via Chou's 5-steps rule and general PseAAC for identifying S-prenylation sites in proteins.

Kuo-Chen Chou, Sher Afzal Khan, Yaser Daanial Khan, 2019, Journal of theoretical biology.

iPhosY-PseAAC: identify phosphotyrosine sites by incorporating sequence statistical moments into PseAAC

Kuo-Chen Chou, Yaser Daanial Khan, Nouman Rasool, 2018, Molecular Biology Reports.

iPhosT-PseAAC: Identify phosphothreonine sites by incorporating sequence statistical moments into PseAAC.

Kuo-Chen Chou, Sher Afzal Khan, Yaser Daanial Khan, 2018, Analytical biochemistry.

Tattooing trend: major cause of HCV transmission among youngsters

K. Saleem, M. Idrees, N. Rasool, 2018, Infectious diseases.

Insights into the inhibitory potential of selective phytochemicals against Mpro of 2019-nCoV: a computer-aided study

A. Akhtar, Waqar Hussain, N. Rasool, 2020, Structural Chemistry.

ADVIT: Using the potentials of deep representations incorporated with grid-based features of dorsum vein patterns for human identification.

Nouman Rasool, Waqar Hussain, Muhammad Yaseen, 2020, Forensic science international.

Using CHOU'S 5-Steps Rule to Predict O-Linked Serine Glycosylation Sites by Blending Position Relative Features and Statistical Moment

Yaser Daanial Khan, Nouman Rasool, Waqar Hussain, 2020, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Virtual Screening of Phytochemicals by Targeting HR1 Domain of SARS-CoV-2 S Protein: Molecular Docking, Molecular Dynamics Simulations, and DFT Studies

A. Akhtar, Waqar Hussain, N. Rasool, 2021, BioMed research international.

Biological perspective of thiazolide derivatives against Mpro and MTase of SARS-CoV-2: Molecular docking, DFT and MD simulation investigations

Waqar Hussain, N. Rasool, Farkhanda Yasmin, 2021, Chemical Physics Letters.

In silico targeting of non-structural 4B protein from dengue virus 4 with spiropyrazolopyridone: study of molecular dynamics simulation, ADMET and virtual screening

Waqar Hussain, N. Rasool, S. Mahmood, 2018, VirusDisease.

Detection of dry bloodstains on different fabrics after washing with commercially available detergents

Samreen Mushtaq, Nouman Rasool, Sehrish Firiyal, 2016 .

Sequence-based Identification of Arginine Amidation Sites in Proteins Using Deep Representations of Proteins and PseAAC

Waqar Hussain, Y. Khan, N. Rasool, 2020 .

In vitro transcriptase deficiency of temperature-dependent host range mutants of Chandipura virus.

C. Pringle, N. Rasool, 1986, The Journal of general virology.

Characterization of plastic degrading bacteria isolated from landfill sites

N. Rasool, S. Iftikhar, Afreen Bakht, 2020 .

Glycosylation is necessary for the correct folding of human immunodeficiency virus gp120 in CD4 binding

Lizhong, Y. Li, N. Rasool, 1993, Journal of virology.

An in silico investigation of phytochemicals as potential inhibitors against non-structural protein 1 from dengue virus 4

Waqar Hussain, N. Rasool, S. Mahmood, 2020 .

Insights into Machine Learning-based approaches for Virtual Screening in Drug Discovery: Existing strategies and streamlining through FP-CADD.

Yaser Daanial Khan, Nouman Rasool, Waqar Hussain, 2020, Current drug discovery technologies.

Prevalence of thyroid stimulating hormone dysfunction among sofosbuvir‐treated HCV‐infected patients: A real‐world clinical experience

M. Wasim, M. Idrees, N. Rasool, 2018, Journal of medical virology.

AEPI: insights into the potential of deep representations for human identification through outer ear images

Waqar Hussain, N. Rasool, Usama Hasan, 2022, Multimedia Tools and Applications.

Computer-aided Analysis of Selective Phytochemicals as Potent Inhibitors of Parkin: Major Biological Target of Parkinson’s disease

Waqar Hussain, N. Rasool, Nadia Arif, 2020 .

N-terminal deletion of Tk1689, a subtilisin-like serine protease from Thermococcus kodakaraensis, copes with its cytotoxicity in Escherichia coli.

N. Rashid, M. Akhtar, N. Rasool, 2010, Journal of bioscience and bioengineering.

iTSP-PseAAC: Identifying Tumor Suppressor Proteins by Using Fully Connected Neural Network and PseAAC

M. Awais, Waqar Hussain, Y. Khan, 2021, Current Bioinformatics.

NPalmitoylDeep-PseAAC: A Predictor of N-Palmitoylation Sites in Proteins Using Deep Representations of Proteins and PseAAC via Modified 5-Steps Rule

Waqar Hussain, Y. Khan, N. Rasool, 2020, Current Bioinformatics.

Predicting membrane proteins and their types by extracting various sequence features into Chou’s general PseAAC

Ahmad Hassan Butt, Y. Khan, N. Rasool, 2018, Molecular Biology Reports.

Optimization of Serine Phosphorylation Prediction in Proteins by Comparing Human Engineered Features and Deep Representations.

Sheraz Naseer, Yaser Daanial Khan, Nouman Rasool, 2020, Analytical biochemistry.

A Sequence-Based Predictor of Zika Virus Proteins developed by Integration of PseAAC and Statistical Moments.

Waqar Hussain, Y. Khan, N. Rasool, 2020, Combinatorial chemistry & high throughput screening.

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

Ahmad Hassan Butt, Yaser Daanial Khan, Nouman Rasool, 2019, Journal of theoretical biology.

Revelation of enzyme activity of mutant pyrazinamidases from Mycobacterium tuberculosis upon binding with various metals using quantum mechanical approach

Yaser Daanial Khan, Nouman Rasool, Waqar Hussain, 2019, Comput. Biol. Chem..

Prediction of Nitrosocysteine Sites Using Position and Composition Variant Features

Kuo-Chen Chou, Yaser Daanial Khan, Nouman Rasool, 2019, Letters in Organic Chemistry.

Computational Studies of 3D-QSAR on a Highly Active Series of Naturally Occurring Non-Nucleoside Inhibitors of HIV-1 RT (NNRTI)

A. Akhtar, Waqar Hussain, N. Rasool, 2020 .

Probing the Pharmacological Binding Properties, and Reactivity of Selective Phytochemicals as Potential HIV-1 protease Inhibitors

A. Akhtar, Waqar Hussain, N. Rasool, 2019, Universitas Scientiarum.

Identification of sex from footprint dimensions using machine learning: a study on population of Punjab in Pakistan

Muhammad Awais, Nouman Rasool, Sajid Mahmood, 2018, Egyptian Journal of Forensic Sciences.

A Prediction Model for Membrane Proteins Using Moments Based Features

Ahmad Hassan Butt, S. Khan, Y. Khan, 2016, BioMed research international.

Predicting membrane proteins and their types by extracting various sequence features into Chou’s general PseAAC

Ahmad Hassan Butt, Yaser Daanial Khan, Nouman Rasool, 2018, Molecular Biology Reports.