Unraveling the gender-specific molecular landscape of lung squamous cell carcinoma progression.

Lung squamous cell carcinoma (LUSC) is a type of non-small cell lung cancer that is the most common and deadly type of lung cancer, originating from the cells lining the bronchi. The progression of LUSC is influenced by various factors, such as genetic, viral, environmental and hormonal factors, immune system response, and smoking history. Despite extensive studies aimed at improving patient survival, the role of gender-specific molecular variants in LUSC progression remains unclear.

NetVA: an R package for network vulnerability and influence analysis.

In biological network analysis, identifying key molecules plays a decisive role in the development of potential diagnostic and therapeutic candidates. Among various approaches of network analysis, network vulnerability analysis is quite important, as it assesses significant associations between topological properties and the functional essentiality of a network. Similarly, some node centralities are also used to screen out key molecules.

Competing endogenous RNAs in head and neck squamous cell carcinoma: a review.

Our understanding of RNA biology has evolved with recent advances in research from it being a non-functional product to molecules of the genome with specific regulatory functions. Competitive endogenous RNA (ceRNA), which has gained prominence over time as an essential part of post-transcriptional regulatory mechanism, is one such example. The ceRNA biology hypothesis states that coding RNA and non-coding RNA co-regulate each other using microRNA (miRNA) response elements.

Architecture and topologies of gene regulatory networks associated with breast cancer, adjacent normal, and normal tissues.

Most cancer studies employ adjacent normal tissues to tumors (ANTs) as controls, which are not completely normal and represent a pre-cancerous state. However, the regulatory landscape of ANTs compared to tumor and non-tumor-bearing normal tissues is largely unexplored. Among cancers, breast cancer is the most commonly diagnosed cancer and a leading cause of death in women worldwide, with a lack of sufficient treatment regimens for various reasons.

Subtype-specific network organization of molecular complexes in breast cancer.

Breast cancer, a leading cause of death in women, is a complex heterogeneous disease comprising multiple molecular subtypes with different treatment responses and hence clinical outcomes. The present study aims to gain a deeper insight into the disease complexities at the level of molecular subtypes. For this, first, three subtype networks of breast cancer, viz.

BCLncRDB: a comprehensive database of LncRNAs associated with breast cancer.

Breast cancer, the most common cancer in women, is characterized by high morbidity and mortality worldwide. Recent evidence has shown that long non-coding RNAs (lncRNAs) play a crucial role in the development and progression of breast cancer. However, despite increasing data and evidence indicating the implication of lncRNAs in breast cancer, no web resource or database exists primarily for lncRNAs associated with only breast cancer.

Identification of key molecular players and associated pathways in cervical squamous cell carcinoma progression through network analysis.

Cervical cancer is the primary cause of mortality among women in developing countries. Preventing cervical cancer is partially possible through early vaccination against the human papillomavirus, the most common cause of the disease. Nevertheless, it is imperative to understand the genetics of the disease progression to develop new therapeutic strategies.

A core and pan gene map of Leptospira genus and its interactions with human host.

Leptospira species are the etiological agent of an emerging zoonotic disease known as "Leptospirosis" that substantially affects both human health and economy across the globe. Despite the global importance of the disease, pathogenetic features, host-adaptation and proper diagnosis of this bacteria remains lacking. To accomplish these gaps, pan-genome of Leptospira genus was explored in the present study.

Prioritizing the candidate genes related to cervical cancer using the moment of inertia tensor.

It is well known that cervical cancer poses the fourth most malignancy threat to women worldwide among all cancer types. There is a tremendous improvement in realizing the underlying molecular associations in cervical cancer. Several studies reported pieces of evidence for the involvement of various genes in the disease progression.

Discovery of dual cation-π inhibitors of acetylcholinesterase: design, synthesis and biological evaluation.

Background: Alzheimer's disease (AD) is a widespread dementia-related disease affecting mankind worldwide. A cholinergic hypothesis is considered the most effective target for treating mild to moderate AD. Present study aims to identify new scaffolds for inhibiting acetylcholinesterase activity.

MedPServer: A database for identification of therapeutic targets and novel leads pertaining to natural products.

Natural products have been the source of treatment for various human diseases from time immemorial. Interests in natural product-based scaffolds for the discovery of modern drugs have grown in recent years. However, research on exploring the traditional medicinal systems for modern therapeutics is severely limited due to our incomplete understanding of the therapeutic mechanism of action.

In silico screening for identification of novel β-1,3-glucan synthase inhibitors using pharmacophore and 3D-QSAR methodologies.

The enzyme β-1,3-glucan synthase, which catalyzes the synthesis of β-1,3-glucan, an essential and unique structural component of the fungal cell wall, has been considered as a promising target for the development of less toxic anti-fungal agents. In this study, a robust pharmacophore model was developed and structure activity relationship analysis of 42 pyridazinone derivatives as β-1,3-glucan synthase inhibitors were carried out. A five-point pharmacophore model, consisting of two aromatic rings (R) and three hydrogen bond acceptors (A) was generated.

Modeling of babesipain-1 and identification of natural and synthetic leads for bovine babesiosis drug development.

Babesiosis is a tick-borne, zoonotic disease caused by species of the intraerythrocytic protozoan Babesia. It is distributed all around the world and affects various domestic and wild animals, mainly cattle. Recently, the cysteine protease enzyme, babesipain-1 from Babesia bigemina has been identified as a potential target for designing new anti-babesiosis drugs.

ClosIndb: A resource for computationally derived information from clostridial genomes.

Over the past few years, several clostridial genomes have been sequenced, and since then new sequencing projects are also under way. Clostridia is one of the most sequenced genera, and presently, complete genome sequences of 49 clostridial species are available in public archives. Unraveling this wealth of genomic information opens up potential avenues in clostridial research.

Rv0494 is a starvation-inducible, auto-regulatory FadR-like regulator from Mycobacterium tuberculosis.

Fatty acid metabolism plays an important role in the survival and pathogenesis of Mycobacterium tuberculosis. Lipids are assumed to be the major source of energy during dormancy. Here, we report the characterization of a starvation-inducible, lipid-responsive transcriptional regulator, Rv0494, divergently transcribed from the Rv0493c probable operon.

In silico analysis of mt 16S rRNA sequences of ocypodid crabs.

The family Ocypodidae comprises of four sub-families Dotillinae, Heloeciinae, Macrophthalminae and Ocypodinae. Ocypodidae mt 16S rRNA sequences were analysed for studying the conserved regions and phylogeny. Conserved regions will be helpful in molecular identification at the sub-family level and in interpretation of the species relationships in a better way.

OrFin: A web tool for detection of putative orthologs.

Unlabelled: Identification of ortholog is one of the important tasks to understand a novel genome. It helps to assign functional annotations, from one organism to another organism. To identify the putative ortholog, Reciprocal Best BLAST hit (RBBH) method is known to be an efficient approach.

MycoRRdb: a database of computationally identified regulatory regions within intergenic sequences in mycobacterial genomes.

The identification of regulatory regions for a gene is an important step towards deciphering the gene regulation. Regulatory regions tend to be conserved under evolution that facilitates the application of comparative genomics to identify such regions. The present study is an attempt to make use of this attribute to identify regulatory regions in the Mycobacterium species followed by the development of a database, MycoRRdb.

NeMedPlant: a database of therapeutic applications and chemical constituents of medicinal plants from north-east region of India.

Unlabelled: The North-East region of India is one of the twelve mega biodiversity region, containing many rare and endangered species. A curated database of medicinal and aromatic plants from the regions called NeMedPlant is developed. The database contains traditional, scientific and medicinal information about plants and their active constituents, obtained from scholarly literature and local sources.

In silico analysis of Pycnoporus cinnabarinus laccase active site with toxic industrial dyes.

Laccases belong to multicopper oxidases, a widespread class of enzymes implicated in many oxidative functions in various industrial oxidative processes like production of fine chemicals to bioremediation of contaminated soil and water. In order to understand the mechanisms of substrate binding and interaction between substrates and Pycnoporus cinnabarinus laccase, a homology model was generated. The resulted model was further validated and used for docking studies with toxic industrial dyes- acid blue 74, reactive black 5 and reactive blue 19.

Structural and docking studies of Leucaena leucocephala Cinnamoyl CoA reductase.

Lignin, a major constituent of plant call wall, is a phenolic heteropolymer. It plays a major role in the development of plants and their defense mechanism against pathogens. Therefore Lignin biosynthesis is one of the critical metabolic pathways.

Sequence analysis, in silico modeling and docking studies of caffeoyl CoA-O-methyltransferase of Populus trichopora.

Caffeoyl coenzyme A-O-methyltransferases (CCoAOMTs) which are characterized under class I plant OMTs, methylates CoA thioesters, with an in vitro kinetic preference for caffeoyl CoA. CCoAOMTs exhibit association with lignin biosynthesis by showing a prime role in the synthesis of guaiacyl lignin and providing the substrates for synthesis of syringyl lignin. The sequence analysis of CCoAOMT from Populus trichopora exhibits 58 nucleotide substitutions, where transitions overcome transversions.

Emergence of swine flu in Andhra Pradesh: Facts and future.

Swine flu is a common term representing the respiratory viral infections caused by influenza A virus strain H1N1. This disease was noticed for the first time in Mexico during early 2009, spread worldwide very soon and took nearly 4000 lives. It is observed that this infection is due to an evolved virulent version of previously existing H1N1.