Statement of Problem:One of the most challenging tasks for forensic science is to identify the unknown human skeletal remains of deceased individuals. Study of sex by distinguishing the various morphological characteristics of bones is utmost important in forensic anthropology and for medico-legal assessment.Purpose:The purpose of this article is to review the literature, to find if there is sufficient evidence to establish the use of mandible in sex identification.Materials and Methods:An electronic search was performed to identify suitable literature, using database of MEDLINE, PubMed, and EBSCOhost. Published articles in between January 2000 and April 2015 were searched. The main focus of search was on the various parameters of mandible studied in last 15 years for sex dimorphism. The focus was on the articles published on radiographic studies as well as on morphometric studies of dry mandible in which skeletal parameters were studied. The screening of titles and abstracts were done, suitable literature that fulfilled the inclusion criteria was selected for a full-text reading.Results:The initial literature search resulted in 89 articles, out of which only 36 articles fulfilled the inclusion criteria and were included in this systematic review.Conclusion:Out of 16 radiographic studies, 14 showed statistically significant results that the adult mandible could be used with increased sensitivity and objectivity to identify both sex and population affinity compared to other standard analytical techniques, whereas two studies showed insignificant results. Out of 20 morphometric studies of dry mandible 15 studies showed a positive correlation between sex dimorphism and mandibular parameters and five studies did not show any positive correlations between the two.
Non-synonymous single nucleotide changes (nSNC) are coding variants that introduce amino acid changes in their corresponding proteins. They can affect protein function; they are believed to have the largest impact on human health compared with SNCs in other regions of the genome. Such a sequence alteration directly affects their structural stability through conformational changes. Presence of these conformational changes near catalytic site or active site may alter protein function and as a consequence receptor-ligand complex interactions. The present investigation includes assessment of human podocin mutations (G92C, P118L, R138Q, and D160G) on its structure. Podocin is an important glomerular integral membrane protein thought to play a key role in steroid resistant nephrotic syndrome. Podocin has a hairpin like structure with 383 amino acids, it is an integral protein homologous to stomatin, and acts as a molecular link in a stretch-sensitive system. We modeled 3D structure of podocin by means of Modeller and validated via PROCHECK to get a Ramachandran plot (88.5% in most favored region), main chain, side chain, bad contacts, gauche and pooled standard deviation. Further, a protein engineering tool Triton was used to induce mutagenesis corresponding to four variants G92C, P118L, R138Q and D160G in the wild type. Perusal of energies of wild and mutated type of podocin structures confirmed that mutated structures were thermodynamically more stable than wild type and therefore biological events favored synthesis of mutated forms of podocin than wild type. As a conclusive part, two mutations G92C (-8179.272 kJ/mol) and P118L (-8136.685 kJ/mol) are more stable and probable to take place in podocin structure over wild podocin structure (-8105.622 kJ/mol). Though there is lesser difference in mutated and wild type (approximately, 74 and 35 kJ/mol), it may play a crucial role in deciding why mutations are favored and occur at the genetic level.
Since the discovery of Hsp90, a decade ago, it has surfaced as a potential target in breast cancer therapy along with other cancers. In present study, we have selected seven established Hsp inhibitors viz., PU3, CCT-018159, CNF-2024, SNX-5422, NVP (AUY-922), EGCG and IPI-504 used in the treatment of cancer. Considering these seven inhibitors as a parent compound, ligand based search was carried out with 90% similarity in Pubchem database (31 million compounds). All the similar molecules belonging to respective parent compound along with similar compound were subjected to virtual screening using MolDock and PLP algorithm aided molecular docking. Compounds with highest docking rerank scores were selected and filtered through Lipinski's drug-likeness filters and toxicity parameters. New candidate (Pubchem CID: 11363378) qualified to demonstrate considerable affinity towards Hsp90. The selected compound was further pharmcophorically incited for receptor- ligand interactions like H-bond, electrostatic, hydrophobic interactions etc.
The Translationally Controlled Tumor Protein (TCTP) has been investigated for tumor reversion and is a target of cancer therapy. Down regulators which suppress the expression of TCTP can trigger the process of tumor reversion leading to the transformation of tumor cells into revertant cells. The present investigation is a novel protein-protein docking approach to target TCTP by a set of proteins similar to the protein: sorting nexin 6 (SNX6) which is an established down regulator of TCTP. The established down regulator along with its set of most similar proteins were modeled using the PYTHON based software - MODELLER v9.9, followed by structure validation using the Procheck Package. Further TCTP was docked with its established and prospective down regulators using the flexible docking protocol suite HADDOCK. The results were evaluated and ranked according to the RMSD values of the complex and the HADDOCK score, which is a weighted sum of van der Waal's energy, electrostatic energy, restraints violation energy and desolvation energy. Results concluded the protein sorting nexin 6 of Mus musculus to be a better down regulator of TCTP, as compared to the suggested down regulator (Homo sapiens snx6).
β2 agonists and anticholinergics are two major classes of bronchodilators which form first line of drugs recommended in symptomatic treatment of asthma and COPD. Combinational therapy involving β agonists and anticholinergics prove more effective in treating airway disease than use of either agent alone. In present investigation, binding modes of Muscarinic Antagonism and β 2 Agonism (MABA) conjugates designed by Lyn et al. were revealed on structural grounds adopting molecular docking techniques. The conjugates tether β 2 motif onto M3 motif which makes it a single molecule that acts as both β 2 agonist and antimuscarinic agent. Series of conjugates were docked against β 2 adrenergic receptor and modeled M3 muscarinic acetylcholine receptor and pharmacophoric features were identified. Upon screening the conjugates on the basis of receptor ligand free energy, hydrogen bonding and internal electrostatic interaction, conjugate 11 demonstrated superior interactions with the receptors compared to remaining conjugates in the series. While, in vitro results and in silico outcomes are in agreement to reveal that conjugate 11 to possess best pharmacological profile, binding modes obtained in docking can be utilized to design new conjugates with improved biological activity. A close study of receptor residues in binding site and atoms, groups and substructures of conjugates may be used to develop favourable secondary valence forces towards receptor-ligand interactions.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.