Silico Approach for Identification of Efficient and Stable Compounds From Nigella Sativa L. As Novel Potential Inhibitors of Covid-19 (Record no. 31864)

MARC details
000 -LEADER
fixed length control field 00594nam a22001817a 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 221215b ||||| |||| 00| 0 eng d
040 ## - CATALOGING SOURCE
Original cataloging agency IUL-LIB
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title English
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 660.65072
Item number SIN/S
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Singh, Anamika
245 ## - TITLE STATEMENT
Title Silico Approach for Identification of Efficient and Stable Compounds From Nigella Sativa L. As Novel Potential Inhibitors of Covid-19
Statement of responsibility, etc Anamika Singh Guided by I. Z. Ahmad
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc Lucknow
Name of publisher, distributor, etc Integral University
Date of publication, distribution, etc 2020
300 ## - PHYSICAL DESCRIPTION
Extent 92p;29cm.
521 ## - TARGET AUDIENCE NOTE
Target audience note No CD
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Source of heading or term Biotechnology
658 ## - INDEX TERM--CURRICULUM OBJECTIVE
Main curriculum objective Biotechnology
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Item type Dissertation-Master Degree
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Home library Current library Shelving location Date acquired Source of acquisition Total Checkouts Full call number Barcode Date last seen Price effective from Koha item type Public note
    Dewey Decimal Classification       CENTRAL LIBRARY CENTRAL LIBRARY DISERTATION 12/15/2022 Integral University   660.65072 SIN/S DM2312 12/15/2022 12/15/2022 Dissertation-Master Degree Biotechnology