
@article {28068,
	title = {Mimicry in butterflies: co-option and a bag of magnificent developmental genetic tricks.},
	journal = {Wiley Interdiscip Rev Dev Biol},
	volume = {7},
	year = {2018},
	month = {2018 Jan},
	abstract = {<p>Butterfly wing patterns are key adaptations that are controlled by remarkable developmental and genetic mechanisms that facilitate rapid evolutionary change. With swift advancements in the fields of genomics and genetic manipulations, identifying the regulators of wing development and mimetic wing patterns has become feasible even in nonmodel organisms such as butterflies. Recent mapping and gene expression studies have identified single switch loci of major effects such as transcription factors and supergenes as the main drivers of adaptive evolution of mimetic and polymorphic butterfly wing patterns. We highlight several of these examples, with emphasis on doublesex, optix, WntA and other dynamic, yet essential, master regulators that control critical color variation and sex-specific traits. Co-option emerges as a predominant theme, where typically embryonic and other early-stage developmental genes and networks have been rewired to regulate polymorphic and sex-limited mimetic wing patterns in iconic butterfly adaptations. Drawing comparisons from our knowledge of wing development in Drosophila, we illustrate the functional space of genes that have been recruited to regulate butterfly wing patterns. We also propose a developmental pathway that potentially results in dorsoventral mismatch in butterfly wing patterns. Such dorsoventrally mismatched color patterns modulate signal components of butterfly wings that are used in intra- and inter-specific communication. Recent advances-fuelled by RNAi-mediated knockdowns and CRISPR/Cas9-based genomic edits-in the developmental genetics of butterfly wing patterns, and the underlying biological diversity and complexity of wing coloration, are pushing butterflies as an emerging model system in ecological genetics and evolutionary developmental biology. WIREs Dev Biol 2018, 7:e291. doi: 10.1002/wdev.291 This article is categorized under: Gene Expression and Transcriptional Hierarchies \&gt; Regulatory Mechanisms Comparative Development and Evolution \&gt; Regulation of Organ Diversity Comparative Development and Evolution \&gt; Evolutionary Novelties.</p>
},
	issn = {1759-7692},
	doi = {10.1002/wdev.291},
	author = {Deshmukh, Riddhi and Baral, Saurav and Gandhimathi, A and Kuwalekar, Muktai and Kunte, Krushnamegh}
}
@article {1023,
	title = {Molecular modelling of human 5-hydroxytryptamine receptor (5-HT2A) and virtual screening studies towards the identification of agonist and antagonist molecules.},
	journal = {J Biomol Struct Dyn},
	volume = {34},
	year = {2016},
	month = {05/2016},
	pages = {952-70},
	chapter = {952},
	abstract = {<p>The serotonin receptors, also known as 5-hydroxytryptamine (5-HT) receptors, are a group of G protein-coupled receptors (GPCRs) and ligand-gated ion channels found in the central and peripheral nervous systems. GPCRs have a characteristic feature of activating different signalling pathways upon ligand binding and these ligands display several efficacy levels to differentially activate the receptor. GPCRs are primary drug targets due to their central role in several signal transduction pathways. Drug design for GPCRs is also most challenging due to their inherent promiscuity in ligand recognition, which gives rise to several side effects of existing drugs. Here, we have performed the ligand interaction study using the two prominent states of GPCR, namely the active and inactive state of the 5-HT2A receptor. Active state of 5-HT2A receptor model enhances the understanding of conformational difference which influences the ligand-binding site. A 5-HT2A receptor active state model was constructed by homology modelling using active state β2-adrenergic receptor (β2-AR). In addition, virtual screening and docking studies with both active and inactive state models reveal potential small molecule hits which could be considered as agonist-like and antagonist-like molecules. The results from the all-atom molecular dynamics simulations further confirmed that agonists and antagonists interact in different modes with the receptor.</p>
},
	issn = {1538-0254},
	doi = {10.1080/07391102.2015.1062802},
	author = {Gandhimathi, A and Sowdhamini, R}
}
