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Träfflista för sökning "WFRF:(Iqbal Ayesha) srt2:(2023)"

Sökning: WFRF:(Iqbal Ayesha) > (2023)

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1.
  • Shah, Ayesha Agha, et al. (författare)
  • Adaptive Reuse of Historic Buildings: An Ecological Indicator
  • 2023
  • Ingår i: Urban Metabolism and Climate Change: Perspective for Sustainable Cities. - : Springer. - 9783031294211 - 9783031294228 ; , s. 111-134
  • Bokkapitel (refereegranskat)abstract
    • Urban metabolism (UM) is the sum of processes for which cities mobilize, consume, and transform their resources for built environments to function effectively. It consists of interrelated processes working at various urban levels forming an intri-cate socio-environmental network to achieve urban sustainability, including adap-tive reuse of heritage buildings. As significant components of historic urban areas, heritage buildings are adapted for appropriate functions to prolong their lifespans. This standard practice is an ideal solution for reducing adverse environmental impacts of the construction industry given that new buildings consume energy and resources and have large carbon footprints. Moreover, the adaptive reuse of heritage build-ings increases socio-cultural viability and promotes eco-friendly environments. This practice of rehabilitation and reuse has been studied vastly. However, the relation-ship between urban metabolism and heritage buildings from an ecological perspec-tive has not largely gained scholarly attention. Hence, this chapter explores this relationship by advocating that reuse and conservation are ecological principles, and that adopting existing infrastructure such as historical buildings and increasing their life cycles contributes toward desirable urban metabolism. This brings down cost and time of construction, requires less resources, retains a set of materials for longer periods for metabolic processes, and promotes environmental and social sustainability. The chapter reviews relevant literature and specific adaptive reuse case studies in urban areas around the globe including restoration and redevelopment of singular or multiple heritage buildings that display significant positive environmental impacts such as addressing resource depletion and reducing greenhouse gas (GHG) emissions. The chapter also highlights the ecological aspect of a built environment concerning sustainable supply of materials and energy required for a desired urban metabolism. Based on this, the research builds a case for conservation and adap-tive reuse to be employed as an important indicator for urban metabolism through maintenance and management of historical urban built environments.
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2.
  • Velu, Periyannan, et al. (författare)
  • Whole genome analysis and homology modeling of SARS-CoV-2 Indian isolate reveals potent FDA approved drug choice for treating COVID-19
  • 2023
  • Ingår i: Journal of Biomolecular Structure and Dynamics. - : Taylor & Francis. - 0739-1102 .- 1538-0254. ; 41:7, s. 2772-2788
  • Tidskriftsartikel (refereegranskat)abstract
    • Coronaviruses have caused enough devastation in the last two decades. These viruses have some rare features while sharing some common features. Novel coronavirus disease (nCoV-19) caused an outbreak with a fatality rate of 5%. It emerged from China and spread into many countries. The present research focused on genome analysis of Indian nCoV-19 Isolate and its translational product subjected to homology modeling and its subsequent molecular simulations to find out potent FDA approved drug for treating COVID-19. Phylogenetic analysis of SARS-CoV-2 Indian isolate shows close resemblance with 17 countries SARS-CoV-2 isolates. Homology modeling of four non-structural proteins translational product of Indian SARS-CoV-2 genome shows high similarity and allowed regions with the existing PDB deposited SARS-CoV-2 target proteins. Finally, these four generated proteins show more affinity with cobicistat, remdesivir and indinavir out of 14 screened FDA approved drugs in molecular docking which is further proven by molecular dynamics simulation and MMGBSA analysis of target ligand complex with best simulation trajectories. Overall our present research findings is that three proposed drugs namely cobicistat, remdesivir and indinavir showed higher interaction with the model SARS-CoV-2 viral target proteins from the Indian nCoV-19 isolate. These compounds could be used as a starting point for the creation of active antiviral drugs to combat the deadly COVID-19 virus during global pandemic and its subsequent viral infection waves across the globe. Communicated by Ramaswamy H. Sarma
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