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Article ; Online: Erroneous calculations of weight of DNA evidence may lead to miscarriage of justice in Pakistan

Nouman Rasool

Egyptian Journal of Forensic Sciences, Vol 9, Iss 1, Pp 1-

2019 Volume 3

Keywords	Law in general. Comparative and uniform law. Jurisprudence ; K1-7720 ; Medicine (General) ; R5-920
Language	English
Publishing date	2019-06-01T00:00:00Z
Publisher	SpringerOpen
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article: Study of ameliorative effect of Allium cepa essential oil and purple cabbage (Brassica Oleracea Var. Capitata F. Rubra) leaves extract on CCl4 induced nephrotoxicity in rats.

Arooj Jamshaid, - / Abrar Ahmed, - / Fatima Rasool, - / Tehreem Waheed Rana, - / Mirza Nouman Amjad Baig, -

Pakistan journal of pharmaceutical sciences

2023 Volume 36, Issue 3, Page(s) 765–771

Abstract: In human body kidney pair acts as an essential excretory organ which keeps up the acid/base equalization. The onion and cabbage compounds play vital role as nephroprotective, because toxicity induced free radicals are neutralized by antioxidant ... ...

Abstract	In human body kidney pair acts as an essential excretory organ which keeps up the acid/base equalization. The onion and cabbage compounds play vital role as nephroprotective, because toxicity induced free radicals are neutralized by antioxidant substances present in onion (Allium Cepa) and cabbage (Brassica oleracea). This research helps to find which compound has better nephroprotective activity. In this study 25 albino rats were used as models for studying carbon tetrachloride induced nephrotoxicity. The rats were divided into 5 groups. Control group received no treatment, 2nd group got only CCl
MeSH term(s)	Humans ; Rats ; Animals ; Onions ; Oxidative Stress ; Oils, Volatile/pharmacology ; Brassica/metabolism ; Creatinine ; Antioxidants/pharmacology ; Antioxidants/metabolism ; Plant Extracts/pharmacology ; Plant Leaves/metabolism ; Electrolytes ; Carbon Tetrachloride/toxicity
Chemical Substances	Oils, Volatile ; Creatinine (AYI8EX34EU) ; Antioxidants ; Plant Extracts ; Electrolytes ; Carbon Tetrachloride (CL2T97X0V0)
Language	English
Publishing date	2023-08-15
Publishing country	Pakistan
Document type	Journal Article
ZDB-ID	885131-1
ISSN	1011-601X
ISSN	1011-601X
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Article ; Online: DNA evidence in sexual assault cases in Pakistan.

Rasool, Nouman / Rasool, Muzamal

Medicine, science, and the law

2020 Volume 60, Issue 4, Page(s) 270–277

Abstract: Sexual assault is becoming a global epidemic, affecting close to a billion women throughout the world. This paper explores the challenges in the admissibility of DNA evidence in rape cases in Pakistan. Delays in the medical examination of victims, and ... ...

Abstract	Sexual assault is becoming a global epidemic, affecting close to a billion women throughout the world. This paper explores the challenges in the admissibility of DNA evidence in rape cases in Pakistan. Delays in the medical examination of victims, and improper collection and packaging of evidentiary material, compromise the probative biological evidence. In the last few years, existing laws have been amended to increase the utility of DNA evidence during criminal trials. However, various issues - for example lack of proper knowledge of DNA evidence by lawyers and judicial officers, inadequacies in existing laws and conflicting decisions of apex courts - can affect the admissibility of DNA evidence during criminal trials.
MeSH term(s)	Crime Victims/legislation & jurisprudence ; Criminal Law/standards ; DNA/isolation & purification ; Female ; Forensic Medicine/standards ; Humans ; Male ; Pakistan ; Rape/legislation & jurisprudence ; Sex Offenses/legislation & jurisprudence ; Specimen Handling/standards
Chemical Substances	DNA (9007-49-2)
Language	English
Publishing date	2020-06-23
Publishing country	England
Document type	Journal Article
ZDB-ID	301137-9
ISSN	2042-1818 ; 0025-8024
ISSN (online)	2042-1818
ISSN	0025-8024
DOI	10.1177/0025802420934240
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Article ; Online: ForeStatistics: A windows-based feature-rich software program for performing statistics in forensic DNA analysis, paternity and relationship testing.

Rasool, Nouman / Hussain, Waqar

Forensic science international

2020 Volume 307, Page(s) 110142

Abstract: Forensic science is one of the most modern and applied fields of science, today and comprises of various domains. These include Fingerprints analysis, Questioned document analysis, Forensic DNA and serology, Anthropometry, Cyber and Digital forensics, ... ...

Abstract	Forensic science is one of the most modern and applied fields of science, today and comprises of various domains. These include Fingerprints analysis, Questioned document analysis, Forensic DNA and serology, Anthropometry, Cyber and Digital forensics, and many other fields. All these fields aid the process of decision making in the courts of law and legal settings; however, DNA profiling and its analyses are one of the most important aspects of forensic science today. In Forensic DNA analysis, the statistical calculations are very important to estimate the conclusiveness of DNA evidence in forensic cases; and to establish paternity and relatedness in civil and criminal matters. These statistics, when performed manually, leave a chance of error or ambiguity in the calculation, and are hectic and time-taking. Therefore, the computer-aided approaches are opted in forensics to perform DNA statistics calculations. Keeping its importance in mind, a highly accurate windows-based software program namely ForeStatistics is proposed in this study. ForeStatistics is rich in features such as DNA statistical calculations, DNA profile management and its matching. The software can estimate random match probabilities for single-source profiles, combined probability of inclusion for mixed profiles, paternity index of a disputed child in duo and trio cases, paternity of the disputed child when the alleged father is related to mother or biological father and relatedness in cases of grandparents/grandchild, avuncular relation and cousin. It is validated through different protocols and the validation of ForeStatistics depicts that it is highly accurate in terms of performing DNA statistics or DNA profile matching. Thus, it is concluded, that ForeStatistics has a great utility in the field of Forensic DNA analysis and can help DNA scientists, in performing various DNA related statistics, accurately and very efficiently. ForeStatistics can be downloaded freely from (http://zeetu.org/forestatistics.html).
MeSH term(s)	Biometry ; DNA Fingerprinting ; Humans ; Likelihood Functions ; Paternity ; Probability ; Software ; User-Computer Interface
Language	English
Publishing date	2020-01-03
Publishing country	Ireland
Document type	Journal Article
ZDB-ID	424042-x
ISSN	1872-6283 ; 0379-0738
ISSN (online)	1872-6283
ISSN	0379-0738
DOI	10.1016/j.forsciint.2020.110142
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Article ; Online: iPhosS(Deep)-PseAAC: Identification of Phosphoserine Sites in Proteins Using Deep Learning on General Pseudo Amino Acid Compositions.

Naseer, Sheraz / Hussain, Waqar / Khan, Yaser Daanial / Rasool, Nouman

IEEE/ACM transactions on computational biology and bioinformatics

2022 Volume 19, Issue 3, Page(s) 1703–1714

Abstract: Among all the PTMs, the protein phosphorylation is pivotal for various pathological and physiological processes. About 30 percent of eukaryotic proteins undergo the phosphorylation modification, leading to various changes in conformation, function, ... ...

Abstract	Among all the PTMs, the protein phosphorylation is pivotal for various pathological and physiological processes. About 30 percent of eukaryotic proteins undergo the phosphorylation modification, leading to various changes in conformation, function, stability, localization, and so forth. In eukaryotic proteins, phosphorylation occurs on serine (S), Threonine (T) and Tyrosine (Y) residues. Among these all, serine phosphorylation has its own importance as it is associated with various importance biological processes, including energy metabolism, signal transduction pathways, cell cycling, and apoptosis. Thus, its identification is important, however, the in vitro, ex vivo and in vivo identification can be laborious, time-taking and costly. There is a dire need of an efficient and accurate computational model to help researchers and biologists identifying these sites, in an easy manner. Herein, we propose a novel predictor for identification of Phosphoserine sites (PhosS) in proteins, by integrating the Chou's Pseudo Amino Acid Composition (PseAAC) with deep features. We used well-known DNNs for both the tasks of learning a feature representation of peptide sequences and performing classifications. Among different DNNs, the best score is shown by Covolutional Neural Network based model which renders CNN based prediction model the best for Phosphoserine prediction. Based on these results, it is concluded that the proposed model can help to identify PhosS sites in a very efficient and accurate manner which can help scientists understand the mechanism of this modification in proteins.
MeSH term(s)	Algorithms ; Amino Acids/chemistry ; Computational Biology/methods ; Deep Learning ; Phosphoserine ; Proteins/chemistry ; Serine/chemistry ; Serine/metabolism
Chemical Substances	Amino Acids ; Proteins ; Phosphoserine (17885-08-4) ; Serine (452VLY9402)
Language	English
Publishing date	2022-06-03
Publishing country	United States
Document type	Journal Article
ISSN	1557-9964
ISSN (online)	1557-9964
DOI	10.1109/TCBB.2020.3040747
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Article: ForeStatistics: A windows-based feature-rich software program for performing statistics in forensic DNA analysis, paternity and relationship testing

Rasool, Nouman / Hussain, Waqar

Forensic science international. 2020 Feb., v. 307

2020

Abstract	Forensic science is one of the most modern and applied fields of science, today and comprises of various domains. These include Fingerprints analysis, Questioned document analysis, Forensic DNA and serology, Anthropometry, Cyber and Digital forensics, and many other fields. All these fields aid the process of decision making in the courts of law and legal settings; however, DNA profiling and its analyses are one of the most important aspects of forensic science today. In Forensic DNA analysis, the statistical calculations are very important to estimate the conclusiveness of DNA evidence in forensic cases; and to establish paternity and relatedness in civil and criminal matters. These statistics, when performed manually, leave a chance of error or ambiguity in the calculation, and are hectic and time-taking. Therefore, the computer-aided approaches are opted in forensics to perform DNA statistics calculations. Keeping its importance in mind, a highly accurate windows-based software program namely ForeStatistics is proposed in this study. ForeStatistics is rich in features such as DNA statistical calculations, DNA profile management and its matching. The software can estimate random match probabilities for single-source profiles, combined probability of inclusion for mixed profiles, paternity index of a disputed child in duo and trio cases, paternity of the disputed child when the alleged father is related to mother or biological father and relatedness in cases of grandparents/grandchild, avuncular relation and cousin. It is validated through different protocols and the validation of ForeStatistics depicts that it is highly accurate in terms of performing DNA statistics or DNA profile matching. Thus, it is concluded, that ForeStatistics has a great utility in the field of Forensic DNA analysis and can help DNA scientists, in performing various DNA related statistics, accurately and very efficiently. ForeStatistics can be downloaded freely from (http://zeetu.org/forestatistics.html).
Keywords	DNA ; DNA fingerprinting ; anthropometric measurements ; children ; computer software ; courts ; decision making ; forensic sciences ; grandparents ; paternity ; probability ; serology
Language	English
Dates of publication	2020-02
Publishing place	Elsevier B.V.
Document type	Article
ZDB-ID	424042-x
ISSN	1872-6283 ; 0379-0738
ISSN (online)	1872-6283
ISSN	0379-0738
DOI	10.1016/j.forsciint.2020.110142
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: Three Major Phosphoacceptor Sites in HIV-1 Capsid Protein Enhances its Structural Stability and Resistance Against the Inhibitor: Explication Through Molecular Dynamics Simulation, Molecular Docking and DFT Analysis.

Rasool, Nouman / Hussain, Waqar

Combinatorial chemistry & high throughput screening

2019 Volume 23, Issue 1, Page(s) 41–54

Abstract: Background: Human Immunodeficiency Virus 1 (HIV-1) is a lentivirus, which causes various HIV-associated infections. The HIV-1 core dissociation is essential for viral cDNA synthesis and phosphorylation of HIV-1 capsid protein (HIV-1 CA) plays an ... ...

Abstract	Background: Human Immunodeficiency Virus 1 (HIV-1) is a lentivirus, which causes various HIV-associated infections. The HIV-1 core dissociation is essential for viral cDNA synthesis and phosphorylation of HIV-1 capsid protein (HIV-1 CA) plays an important role in it. Objective: The aim of this study was to explicate the role of three phosphoserine sites i.e. Ser109, Ser149 and Ser178 in the structural stability of HIV-1 CA, and it's binding with GS-CA1, a novel potent inhibitor. Methods: Eight complexes were analyzed and Molecular Dynamics (MD) simulations were performed to observe the stability of HIV-1 CA in the presence and absence of phosphorylation of serine residues at four different temperatures i.e. 300K, 325K, 340K and 350K, along with molecular docking and DFT analysis. Results: The structures showed maximum stability in the presence of phosphorylated serine residue. However, GS-CA1 docked most strongly with the native structure of HIV-1 CA i.e. binding affinity was -8.5 kcal/mol (Ki = 0.579 µM). Conclusion: These results suggest that the phosphorylation of these three serine residues weakens the binding of GS-CA1 with CA and casts derogatory effect on inhibition potential of this inhibitor, but it supports the stability of HIV-1 CA structure that can enhance regulation and replication of HIV-1 in host cells.
MeSH term(s)	Anti-HIV Agents/pharmacology ; Capsid Proteins/antagonists & inhibitors ; Capsid Proteins/chemistry ; Capsid Proteins/metabolism ; Crystallography, X-Ray ; Density Functional Theory ; HIV-1/chemistry ; HIV-1/drug effects ; Molecular Docking Simulation ; Molecular Dynamics Simulation ; Phosphorylation/drug effects ; Serine/antagonists & inhibitors ; Serine/chemistry ; Serine/metabolism ; Temperature
Chemical Substances	Anti-HIV Agents ; Capsid Proteins ; Serine (452VLY9402)
Language	English
Publishing date	2019-12-14
Publishing country	United Arab Emirates
Document type	Journal Article
ZDB-ID	2064785-2
ISSN	1875-5402 ; 1386-2073
ISSN (online)	1875-5402
ISSN	1386-2073
DOI	10.2174/1386207323666191213142223
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Article: Insights into the inhibitory potential of selective phytochemicals against Mpro of 2019-nCoV: a computer-aided study.

Rasool, Nouman / Akhtar, Ammara / Hussain, Waqar

Structural chemistry

2020 Volume 31, Issue 5, Page(s) 1777–1783

Abstract: At the end of December 2019, a novel strain of coronavirus, given the name of 2019-nCoV, emerged for exhibiting symptoms of severe acute respiratory syndrome. The virus is spreading rapidly in China and around the globe, affecting thousands of people ... ...

Abstract	At the end of December 2019, a novel strain of coronavirus, given the name of 2019-nCoV, emerged for exhibiting symptoms of severe acute respiratory syndrome. The virus is spreading rapidly in China and around the globe, affecting thousands of people leading to a pandemic. To control the mortality rate associated with the 2019-nCoV, prompt steps are needed. Until now there is no effective treatment or drug present to control its life-threatening effects in the humans. The scientist is struggling to find new inhibitors of this deadly virus. In this study, to identify the effective inhibitor candidates against the main protease (Mpro) of 2019-nCoV, computational approaches were adopted. Phytochemicals having immense medicinal properties as ligands were docked against the Mpro of 2019-nCoV to study their binding properties. ADMET and DFT analyses were also further carried out to analyze the potential of these phytochemicals as an effective inhibitor against Mpro of 2019-nCoV.
Keywords	covid19
Language	English
Publishing date	2020-05-01
Publishing country	United States
Document type	Journal Article
ZDB-ID	2018832-8
ISSN	1572-9001 ; 1040-0400
ISSN (online)	1572-9001
ISSN	1040-0400
DOI	10.1007/s11224-020-01536-6
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Article ; Online: Analysis of Inhibitor Binding Combined with Reactivity Studies to Discover the Potentially Inhibiting Phytochemicals Targeting Chikungunya Viral Replication.

Rasool, Nouman / Bakht, Afreen / Hussain, Waqar

Current drug discovery technologies

2020 Volume 18, Issue 3, Page(s) 437–450

Abstract: Background: Chikungunya fever is a challenging threat to human health in various parts of the world nowadays. Many attempts have been made for developing an effective drug against this viral disease and no effective antiviral treatment has been ... ...

Abstract	Background: Chikungunya fever is a challenging threat to human health in various parts of the world nowadays. Many attempts have been made for developing an effective drug against this viral disease and no effective antiviral treatment has been developed to control the spread of the Chikungunya virus (CHIKV) in humans. Objective: This research is aimed at the discovery of potential inhibitors against this virus by employing computational techniques to study the interactions between non-structural proteins of Chikungunya virus and phytochemicals from plants. Methods: Four non-structural proteins were docked with 2035 phytochemicals from various plants. The ligands having binding energies ≥ -8.0 kcal/mol were considered as potential inhibitors for these proteins. ADMET studies were also performed to analyze different pharmacological properties of these docked compounds and to further analyze the reactivity of these phytochemicals against CHIKV, DFT analysis was carried out based on HOMO and LUMO energies. Results: By analyzing the binding energies, Ki, ADMET properties and band energy gaps, it was observed that 13 phytochemicals passed all the criteria to be a potent inhibitor against CHIKV in humans. Conclusion: A total of 13 phytochemicals were identified as potent inhibiting candidates, which can be used against the Chikungunya virus.
MeSH term(s)	Antiviral Agents/chemistry ; Antiviral Agents/pharmacology ; Antiviral Agents/therapeutic use ; Chikungunya Fever/drug therapy ; Chikungunya Fever/virology ; Chikungunya virus/drug effects ; Chikungunya virus/physiology ; Drug Discovery/methods ; Humans ; Molecular Docking Simulation ; Phytochemicals/chemistry ; Phytochemicals/pharmacology ; Phytochemicals/therapeutic use ; Viral Nonstructural Proteins/antagonists & inhibitors ; Viral Nonstructural Proteins/metabolism ; Virus Replication/drug effects
Chemical Substances	Antiviral Agents ; Phytochemicals ; Viral Nonstructural Proteins
Language	English
Publishing date	2020-03-12
Publishing country	United Arab Emirates
Document type	Journal Article
ISSN	1875-6220
ISSN (online)	1875-6220
DOI	10.2174/1570163817666200312102659
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Article ; Online: A Sequence-Based Predictor of Zika Virus Proteins Developed by Integration of PseAAC and Statistical Moments.

Hussain, Waqar / Rasool, Nouman / Khan, Yaser D

Combinatorial chemistry & high throughput screening

2020 Volume 23, Issue 8, Page(s) 797–804

Abstract: Background: ZIKV has been a well-known global threat, which hits almost all of the American countries and posed a serious threat to the entire globe in 2016. The first outbreak of ZIKV was reported in 2007 in the Pacific area, followed by another severe ...

Abstract	Background: ZIKV has been a well-known global threat, which hits almost all of the American countries and posed a serious threat to the entire globe in 2016. The first outbreak of ZIKV was reported in 2007 in the Pacific area, followed by another severe outbreak, which occurred in 2013/2014 and subsequently, ZIKV spread to all other Pacific islands. A broad spectrum of ZIKV associated neurological malformations in neonates and adults has driven this deadly virus into the limelight. Though tremendous efforts have been focused on understanding the molecular basis of ZIKV, the viral proteins of ZIKV have still not been studied extensively. Objectives: Herein, we report the first and the novel predictor for the identification of ZIKV proteins. Methods: We have employed Chou's pseudo amino acid composition (PseAAC), statistical moments and various position-based features. Results: The predictor is validated through 10-fold cross-validation and Jackknife testing. In 10- fold cross-validation, 94.09% accuracy, 93.48% specificity, 94.20% sensitivity and 0.80 MCC were achieved while in Jackknife testing, 96.62% accuracy, 94.57% specificity, 97.00% sensitivity and 0.88 MCC were achieved. Conclusion: Thus, ZIKVPred-PseAAC can help in predicting the ZIKV proteins efficiently and accurately and can provide baseline data for the discovery of new drugs and biomarkers against ZIKV.
MeSH term(s)	Algorithms ; Amino Acid Sequence ; Amino Acids/chemistry ; Antiviral Agents/chemistry ; Antiviral Agents/pharmacology ; Biomarkers/metabolism ; Computational Biology/methods ; Databases, Protein ; Drug Evaluation, Preclinical ; Humans ; Protein Binding ; Viral Proteins/chemistry ; Zika Virus/chemistry
Chemical Substances	Amino Acids ; Antiviral Agents ; Biomarkers ; Viral Proteins
Language	English
Publishing date	2020-04-27
Publishing country	United Arab Emirates
Document type	Journal Article
ZDB-ID	2064785-2
ISSN	1875-5402 ; 1386-2073
ISSN (online)	1875-5402
ISSN	1386-2073
DOI	10.2174/1386207323666200428115449
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