LEADER 04669nam 22007335 450 001 9910298271703321 005 20200701082500.0 010 $a81-322-2383-7 024 7 $a10.1007/978-81-322-2383-2 035 $a(CKB)3710000000402945 035 $a(EBL)2095816 035 $a(SSID)ssj0001500633 035 $a(PQKBManifestationID)11820125 035 $a(PQKBTitleCode)TC0001500633 035 $a(PQKBWorkID)11535912 035 $a(PQKB)11308666 035 $a(DE-He213)978-81-322-2383-2 035 $a(MiAaPQ)EBC2095816 035 $a(PPN)185487866 035 $a(EXLCZ)993710000000402945 100 $a20150423d2015 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aComputational Approaches in Chlamydomonas reinhardtii for Effectual Bio-hydrogen Production$b[electronic resource] /$fby Pratyoosh Shukla, M.V.K. Karthik 205 $a1st ed. 2015. 210 1$aNew Delhi :$cSpringer India :$cImprint: Springer,$d2015. 215 $a1 online resource (42 p.) 225 1 $aSpringerBriefs in Systems Biology,$x2193-4746 300 $aDescription based upon print version of record. 311 $a81-322-2382-9 320 $aIncludes bibliographical references. 327 $a1. Introduction -- 2. Background -- 3. Material and Methods -- 4. Results and discussions -- 5. Conclusion. 330 $aThis book describes the feasibility of using molecular dynamics as a screening technique to identify the stability of HydA1 and PetF interactions. Structure-based computational approaches are necessary to recognize and characterize protein-protein complexes and their functions. It introduces the idea that for specific proteins, homology modeling is the most effective technique and that docking algorithms are an increasingly powerful tool for providing a detailed explanation of such interactions. This book is a useful source of information on biomass-based biofuels for researchers in the field of bio-hydrogen and bioinformatics techniques. Biofuel and bioenergy produced from unicellular microalgae Chlamydomonas reinhardtii is a clean energy source, and providing information about functional optimization in HydA1 and PetF interactions will help researchers to adopt swift screening methods to identify key protein complexes and their functions. The book also provides an introduction to hydrogenases and associated Chlamydomonas reinhardtii, which is a useful model microorganism for research on biofuel production. The book focuses on the in silico methods such as phylogenetic studies, homology modeling, molecular docking, electrostatic studies and conformational analysis, which have the potential to become the most cost-effective methods for bio-fuel production. This book provides a valuable resource to senior undergraduate and graduate students, researchers, professionals and other interested individuals or groups working in the area of bioenergy with special reference to microalgal biofuel. 410 0$aSpringerBriefs in Systems Biology,$x2193-4746 606 $aBioinformatics 606 $aProteins  606 $aBioinformatics  606 $aComputational biology  606 $aBioinformatics$3https://scigraph.springernature.com/ontologies/product-market-codes/L15001 606 $aProtein Structure$3https://scigraph.springernature.com/ontologies/product-market-codes/L14050 606 $aProtein-Ligand Interactions$3https://scigraph.springernature.com/ontologies/product-market-codes/L14060 606 $aProtein Science$3https://scigraph.springernature.com/ontologies/product-market-codes/L14040 606 $aComputer Appl. in Life Sciences$3https://scigraph.springernature.com/ontologies/product-market-codes/L17004 606 $aComputational Biology/Bioinformatics$3https://scigraph.springernature.com/ontologies/product-market-codes/I23050 615 0$aBioinformatics. 615 0$aProteins . 615 0$aBioinformatics . 615 0$aComputational biology . 615 14$aBioinformatics. 615 24$aProtein Structure. 615 24$aProtein-Ligand Interactions. 615 24$aProtein Science. 615 24$aComputer Appl. in Life Sciences. 615 24$aComputational Biology/Bioinformatics. 676 $a665.81 700 $aShukla$b Pratyoosh$4aut$4http://id.loc.gov/vocabulary/relators/aut$01062971 702 $aKarthik$b M.V.K$4aut$4http://id.loc.gov/vocabulary/relators/aut 906 $aBOOK 912 $a9910298271703321 996 $aComputational Approaches in Chlamydomonas reinhardtii for Effectual Bio-hydrogen Production$92529401 997 $aUNINA