Poster Presentation

Abstract:

• Abstract should contain Title, Name(s) of Authors, Affiliation(s) along with the postal address of Authors, Email address of Presenting Author and body text of abstract.

• The Title should be specific to reflect the work to be presented.

• Title should be in Times New Roman, Bold, font size 16, single line spacing, centered and Titled case.

• No. of Authors is restricted to 4 authors per presentation.

• Authors name should be described as Surname followed by Name in Times New Roman, font size 12, single line spacing, centered and Titled case.

• The name of presenting author should be underlined.

• In case of more than one affiliation, each affiliation may be marked by numbering in superscript after the name of author.

• Email address of Presenting author should be in Italics, Times New Roman, font size 12, centred and in lower case

• The body text of the abstract (not exceeding 250 words) should be in Times New Roman, font size 10, single line spacing, justified and in sentence case.

(All participants will have to register for the conference and certificate)

Email ID (for abstract submission): sdpckim2022@gmail.com

SAMPLE ABSTRACT

Design, synthesis, molecular docking and 3D-QSAR studies of potent inhibitors of enoyl-acyl carrier protein reductase as potential antimycobacterial agents

Surname Name¹, Surname Name¹, Surname Name²

¹Name of Institute, City. State

²Shree Dhanvantary Pharmacy College, Surat, Gujarat

xyz@ymail.com

In order to develop a lead antimycobacterium tuberculosis compound, a series of 52, novel pyrrole hydrazine derivatives have been synthesized and screened which target the essential enoyl-ACP reductase. The binding mode of the compounds at the active site of enoyl-ACP reductase was explored using surflex-docking method. The binding model suggests one or two hydrogen bonding interactions between pyrrole hydrazones and InhA enzyme. Highly active compound 5r (MIC 0.2 μg/mL) showed hydrogen bonding interactions with Tyr158 and NAD+ in the same manner as those of ligands PT70 and triclosan. The CoMFA and CoMSIA models generated with database alignment were the best in terms of overall statistics. The predictive ability of the CoMFA and CoMSIA models was determined using a test set of 13 compounds, which gave predictive correlation coefficients (rpred2) of 0.896 and 0.930, respectively.

Keywords: CoMFACoMSIAPyrrole hydrazonesAnti-tubercular activityEnoyl-ACP reductase subunit A