Pathogenicity
Pathogenicity forecast for bacterial genomes (PaPrBaG) beats hereditary uniqueness via preparing on a wide scope of animal varieties with known
pathogenicity phenotype. To that end a far reaching rundown of pathogenic and nonpathogenic microscopic organisms with human host was ordered, utilizing different
genome metadata related to a standard based convention (Carlus et al., 2017). A point by point relative examination uncovers that PaPrBaG has a few favorable circumstances over grouping closeness draws near. In particular, it generally gives a forecast, while different methodologies dispose of countless sequencing peruses with
low comparability to at present known reference genomes. Besides, PaPrBaG stays dependable even at exceptionally
low genomic inclusions. Consolidating PaPrBaG with existing methodologies further improves expectation results. An AI technique has been built up that consolidated element extraction with arbitrary woodland expectation, PaPrBaG. Further investigation aggregated another dataset of bacterial genomes with dependable
pathogenicity data as surmised utilizing a standard based convention. PaPrBaG and a few other arrangement and piece put together methodologies were widely tried with respect to this information. It is prominent that all techniques accomplished high precision for the troublesome errand of novel
species order. Surprisingly, PaPrBaG was one of only a handful scarcely any apparatuses accomplishing strong expectations over a wide scope of inclusions. As opposed to most methodologies, it created solid forecasts for genomic inclusions as
low as 0.001. At high inclusions, PaPrBaG performed seriously and, specifically, better than creation based methodologies.
High Impact List of Articles
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Quantitative HPLC Analysis of Phenolic Compounds in Prosopis farcta from Two Different Ecological Zones of Iran.
Karimi E, Aidy A and Abbasi N. Original Article: Chemical Technology: An Indian Journal
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Quantitative HPLC Analysis of Phenolic Compounds in Prosopis farcta from Two Different Ecological Zones of Iran.
Karimi E, Aidy A and Abbasi N. Original Article: Chemical Technology: An Indian Journal
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Modelling of total cost of process plants in ghana
A.Coleman, P.S.Adu, C.P.K. Dagadu, H.A.Affum, I.I.Mumuni, G.K.Appiah,
S.Y.Adzaklo,G.Afrane Original Article: Chemical Technology: An Indian Journal
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Modelling of total cost of process plants in ghana
A.Coleman, P.S.Adu, C.P.K. Dagadu, H.A.Affum, I.I.Mumuni, G.K.Appiah,
S.Y.Adzaklo,G.Afrane Original Article: Chemical Technology: An Indian Journal
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Removal of nickel as toxic heavymetal using Entromorpha as green alga
Mahmood Niad, Saeid Zaree Original Article: Chemical Technology: An Indian Journal
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Removal of nickel as toxic heavymetal using Entromorpha as green alga
Mahmood Niad, Saeid Zaree Original Article: Chemical Technology: An Indian Journal
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MASS TRANSFERATTHE CONFININGWALLOFANELECTROCHEMICAL CELLWITHHOMOGENEOUS FLOWINTHE PRESENCEOFHOURGLASS PROMOTER
K.Ashok Kumar, M.S.N.Murty, B.Srinivas, K.V.Ramesh Original Article: Chemical Technology: An Indian Journal
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MASS TRANSFERATTHE CONFININGWALLOFANELECTROCHEMICAL CELLWITHHOMOGENEOUS FLOWINTHE PRESENCEOFHOURGLASS PROMOTER
K.Ashok Kumar, M.S.N.Murty, B.Srinivas, K.V.Ramesh Original Article: Chemical Technology: An Indian Journal
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Application of artificial neural networks and response surface methodology for dye removal using a novel adsorbent
K.V.Narayana Saibaba, P.King Original Article: Chemical Technology: An Indian Journal
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Application of artificial neural networks and response surface methodology for dye removal using a novel adsorbent
K.V.Narayana Saibaba, P.King Original Article: Chemical Technology: An Indian Journal
Relevant Topics in Chemistry