Solving the twin paradox-forensic strategies to identify the identical twins.

Identical twins are also called monozygotic twins which originate from the same zygote that possesses the same genetic make-up. To discriminate between identical monozygotic twins, short tandem repeats has not been found effective, therefore, various techniques, including next-generation sequencing (NGS), are applied. Monozygotic twins can be identified through germ line genomes, through speech using deep learning networks, and through epigenetic analysis. Fingerprint analysis has also been used to distinguish between identical twins, as human beings have unique fingerprints. Two distinct levels of fingerprint are used to distinguish between monozygotic twins based upon the differences in the minutiae points. Examination of the methylation pattern of the genome has an enormous potential to differentiate between identical twins, as the methylation of DNA occurs uniquely to each individual. This article offers an insight into the latest methods and techniques used for the differentiation between the identical twins.

In-silico analysis of potential anticancer drug for NEK7 and PPP1CA proteins overexpressed in pancreatic ductal adenocarcinoma.

NIMA-related kinase 7 (NEK7) and phosphoprotein phosphatase-1 catalytic subunit alpha (PPP1CA) are the most common proteins overexpressed in pancreatic ductal adenocarcinoma, which is the most common type of pancreatic cancer. The goal of the current study was to identify a possible NEK7 and PPP1CA therapeutic inhibitor. For this investigation, 5000 compounds were retrieved from the IMPPAT library of phytochemicals, which were docked with our respective target proteins. Also, a reference compound, gemcitabine, which is a Food and Drug Administration (FDA) approved drug, was docked with the target proteins. The binding energy of the reference compound for both the targeted proteins was -6.5 kcal/mol. The common ligand with the lowest binding energy for both targets is boeravinone B (PubChem ID: 14018348) with -9.2 kcal/mol of NEK7 and -7.6 kcal/mol for PPP1CA. The compound was further investigated through density function theory (DFT) and molecular dynamic simulation analysis. The root mean square deviation (RMSD), root mean square fluctuation (RMSF), radius of gyration (Rg), and hydrogen bonding analysis indicated the stability of the boeravinone B with the target proteins (NEK7 and PPP1CA).Communicated by Ramaswamy H. Sarma.

TULP3 NLS inhibition: an in silico study to hamper cargo transport to nucleus.

TULP3 is involved in cell regulation pathways including transcription and signal transduction. In some pathological states like in cancers, increased level of TULP3 has been observed so it can serve as a potential target to hamper the activation of those pathways. We propose a novel idea of inhibiting nuclear localization signal (NLS) to interrupt nuclear translocation of TULP3 so that the downstream activations of pathways are blocked. In current in silico study, 3D structure of TULP3 was modeled using 8 different tools including I-TASSER, CABS-FOLD, Phyre2, PSIPRED, RaptorX, Robetta, Rosetta and Prime by Schrödinger. Best structure was selected after quality evaluation by SAVES and implied for the investigation of NLS sequence. Mapped NLS sequence was further used to dock with natural ligand importin-α as control docking to validate the NLS sequence as binding site. After docking and molecular dynamics (MD) simulation validation, these residues were used as binding side for subsequent docking studies. 70 alkaloids were selected after intensive literature survey and were virtually docked with NLS sequence where natural ligand importin-α is supposed to be bound. This study demonstrates the virtual inhibition of NLS sequence so that it paves a way for future in-vivo studies to use NLS as a new drug target for cancer therapeutics.Communicated by Ramaswamy H. Sarma.

In silico identification of potential drug-like molecules against G glycoprotein of Nipah virus by molecular docking, DFT studies, and molecular dynamic simulation.

Nipah virus (NiV) is a novel zoonotic pathogen that belongs to the Paramyxovirus family. The pathogen has infected a number of people in countries like Bangladesh, India, Singapore, and Malaysia with high mortality rates. Although the NiV has been classified as a biosafety level four pathogen (BSL-4), there is no drug approved for treatment against it. In this study, the G glycoprotein of the NiV was chosen as an antiviral target. Based on ADMET criteria, BBB- and BBB + group compounds were screened out of the Gold & platinum Asinex library containing 211620 compounds. After careful evaluation, the selected ligands were then virtually screened to identify the potential inhibitors against the G glycoprotein of the NiV through molecular docking, density functional theory (DFT), and molecular dynamic (MD) simulation studies. In our study we identified 5-(1,3-Benzodioxol-5-yl)-2-[(3-fluorobenzyl)sulfanyl]-5,8-dihydropyrido[2,3-d]pyrimidine-4,7(1H,6H)-dione (from BBB- group) and 7,7-Dimethyl-1-(4-methylphenyl)-3-(4-morpholinylcarbonyl)-7,8-dihydro-2,5(1H,6H)-quinolinedione) (from BBB + group) as potential compounds for the prevention and treatment of NiV related diseases.Communicated by Ramaswamy H. Sarma.

A computer aided drug discovery based discovery of lead-like compounds against KDM5A for cancers using pharmacophore modeling and high-throughput virtual screening.

KDM5A over-expression mediates cancer cell proliferation and promotes resistance toward chemotherapy through epigenetic modifications. As its complete mechanism of action is still unknown, there is no KDM5A specific drug available at clinical level. In the current study, lead compounds for KDM5A were determined through pharmacophore modeling and high-throughput virtual screening from Asinex libraries containing 0.5 million compounds. These virtual hits were further evaluated and filtered for ADMET properties. Finally, 726 compounds were used for docking analysis against KDM5A. On the basis of docking score, 10 top-ranked compounds were selected and further evaluated for non-central nervous system (CNS) and CNS drug-like properties. Among these compounds, N-{[(7-Methyl-4-oxo-1,2,3,4-tetrahydrocyclopenta [c] chromen-9-yl) oxy]acetyl}-l-phenylalanine (G-score: -11.363 kcal/mol) was estimated to exhibit non-CNS properties while 2-(3,4-Dimethoxy-phenyl)-7-methoxy-chromen-4-one (G-score: -7.977 kcal/mol) was evaluated as CNS compound. Docked complexes of both compounds were finally selected for molecular dynamic simulation to examine the stability. This study concluded that both these compounds can serve as lead compounds in the quest of finding therapeutic agents against KDM5A associated cancers.

Persistence of Semen on five different fabric types in various water environments.

Evidence collected from biological fluids obtained from a crime scene is essentially important in forensic cases. A potential profile can be generated from these obtained samples and this can help in identifying the victims and/or suspects of sexual assault. The water environments selected for this study are all related to the potential crime scenes from which there is a possibility of finding a dead body or clothing of a sexual assault victim. Tap water, River water, Swimming pool water, and Canal water were selected. Fabric types selected were khaddar, linen, silk, polyester, and chiffon. Detection of seminal stains was carried out by three methods; Alternate Light Source (ALS), Acid phosphatase (AP) testing, and Kernechtrot-Picro-indigo-carmine (KPIC) testing. These tests were performed for each fabric type in each water environment after regular intervals, 24 h, 48 h, 72 h, 4 days, 7 days, and 14 days. This study aimed to compare the ability of five types of fabrics to retain seminal material after immersion in four different types of water environments. Fluorescence was only detected in tap water-soaked silk fabric after 14 days of immersion. Seminal fluid was detected in khaddar, chiffon, silk, and polyester in samples immersed for 14 days in tap water. Spermatozoa were retained by khaddar and silk immersed in tap water, Polyester fabric in tap and river water, Chiffon in only river water and Linen in swimming pool water when immersed for 14 days. However, fluorescence, seminal fluid or spermatozoa were not detected in linen fabric regardless of all the afore mentioned variables.

Familial DNA analysis and criminal investigation: Usage, downsides and privacy concerns.

Since the discovery of Deoxyribonucleic acid (DNA) capability in forensic investigation, it has been an important part of the criminal justice system. In most criminal cases DNA profile originating from evidence sample collected from the crime scene is compared with the DNA profile from the reference sample. However, when a reference sample is not available for comparison, familial DNA analysis can provide important investigation leads in a criminal investigation process by identifying an individual. Moreover, this analysis is also proving effective in the identification of ethnicity and ancestry of an individual. A number of different methodologies and software are being used for familial DNA analysis. This review describes the importance of familial DNA analysis, methodologies used for familial DNA searching and identification, and its advantages in forensic. Moreover, ethical, legal and social issues associated with familial DNA analysis have also been discussed along with future directions for the proper implementation of this technology.

Paromomycin: A potential dual targeted drug effectively inhibits both spike (S1) and main protease of COVID-19.

OBJECTIVES: With the increasing number of people suffering from coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), there is a dire need to look for effective remedies against this pandemic. Drug repurposing seems to be the solution for the current situation. METHODS: In a quest to find a potential drug against this virus, 15 antimalarial drugs (including chloroquine) and 2413 US Food and Drug Administration-approved drugs were investigated for activity against both the protease and spike proteins of SARS-CoV-2 using an in silico approach. Molecular docking analysis followed by molecular dynamics simulation was performed to estimate the binding and stability of the complexes. RESULTS: This study identified a single drug - paromomycin - with activity against two targets of SARS-CoV-2, i.e., spike protein (S1) and protease domain. Paromomycin was found to have strong binding affinity for both targets of coronavirus. The results also showed that no antimalarial drug exhibited effective binding for either S1 or protease. CONCLUSIONS: This study found that paromomycin may be an effective dual targeting drug against coronavirus, as it binds not only to the protease domain of the virion, but also to the spike domain, with high stability. Furthermore, none of the antimalarial drugs showed strong binding affinity for either protease or the receptor binding domain (RBD).

Generating DNA profile from low copy number DNA: Strategies and associated risks

Many shreds of evidence found on the crime scenes contain a trace amount of DNA which results in insignificant profiling results for subsequent comparison. This can nullify the potential evidence material and hamper investigation process. Over the years, different strategies have been employed by various DNA testing laboratories to create interpretable DNA profiles generated from low template of DNA. This review highlights different strategies used by forensic laboratories worldwide for creating complete DNA profiles from low copy number template for comparison purposes along with its associated risks for forensic purposes.

Crime scene investigation in Pakistan: A perspective.

Crime scene investigation is an important tool in criminal investigation process. Proper processing of crime scene is a prerequisite for successfully solving a criminal case. In Pakistan, local policemen are not properly trained and equipped with the necessary items required for systematic processing of crime scene including proper identification and collection of evidence. Certain capacity building measures and improvements must be needed for proper processing of crime scene in Pakistan. This article focuses the current situation and strategies being practiced in Pakistan followed by suggestions for capacity building measures in this field.