{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["32(5)"],"submitter":["Abdelazeem NM"],"pubmed_abstract":["Based on previous developments of our research programs in trying to find new compounds with multiple biological targets such as antioxidant, anti-diabetic, anti-Alzheimer's, and anti-arthritic agents. In the context, a novel series of sulfonamide derivatives based on the pyrazole or pyridine moieties <b>3a, b, 7</b>-<b>9, 11</b>-<b>13, 15a, b,</b> and <b>16</b> were synthesized from amine compounds with sulfonyl chloride derivatives. The structures of sulfonamide derivatives were elucidated <i>via</i> spectroscopy (<sup>1</sup>H and <sup>13</sup>C NMR). The sulfonamide derivatives were biologically assessed <i>in vitro</i> for their anti-diabetic (α-amylase and α-glucosidase inhibition) and anti-Alzheimer's (acetylcholinesterase inhibition) activities. The biological results revealed that compound <b>15a</b> is a powerful enzyme inhibitor for α-amylase and α-glucosidase. Also, compound <b>15b</b> demonstrated inhibitor activity against the acetylcholinesterase enzyme. The structure-activity relationship study of sulfonamide derivatives was accomplished. Furthermore, complementary <i>in silico</i> molecular properties, drug-likeness, ADMET prediction, and surface properties of the two more powerful derivatives <b>15a</b> and <b>15b</b> were fulfilled and computed. These studies recommend <b>15a</b> and <b>15b</b> as candidates with modifications in their structures before the <i>in vivo</i> assays."],"journal":["Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society"],"pagination":["102025"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC10973197"],"repository":["biostudies-literature"],"pubmed_title":["Synthesis, <i>in silico</i> ADMET prediction analysis, and pharmacological evaluation of sulfonamide derivatives tethered with pyrazole or pyridine as anti-diabetic and anti-Alzheimer's agents."],"pmcid":["PMC10973197"],"pubmed_authors":["Naglah AM","Almehizia AA","Hassan AS","Aboulthana WM","Abdelazeem NM","Alkahtani HM"],"additional_accession":[]},"is_claimable":false,"name":"Synthesis, <i>in silico</i> ADMET prediction analysis, and pharmacological evaluation of sulfonamide derivatives tethered with pyrazole or pyridine as anti-diabetic and anti-Alzheimer's agents.","description":"Based on previous developments of our research programs in trying to find new compounds with multiple biological targets such as antioxidant, anti-diabetic, anti-Alzheimer's, and anti-arthritic agents. In the context, a novel series of sulfonamide derivatives based on the pyrazole or pyridine moieties <b>3a, b, 7</b>-<b>9, 11</b>-<b>13, 15a, b,</b> and <b>16</b> were synthesized from amine compounds with sulfonyl chloride derivatives. The structures of sulfonamide derivatives were elucidated <i>via</i> spectroscopy (<sup>1</sup>H and <sup>13</sup>C NMR). The sulfonamide derivatives were biologically assessed <i>in vitro</i> for their anti-diabetic (α-amylase and α-glucosidase inhibition) and anti-Alzheimer's (acetylcholinesterase inhibition) activities. The biological results revealed that compound <b>15a</b> is a powerful enzyme inhibitor for α-amylase and α-glucosidase. Also, compound <b>15b</b> demonstrated inhibitor activity against the acetylcholinesterase enzyme. The structure-activity relationship study of sulfonamide derivatives was accomplished. Furthermore, complementary <i>in silico</i> molecular properties, drug-likeness, ADMET prediction, and surface properties of the two more powerful derivatives <b>15a</b> and <b>15b</b> were fulfilled and computed. These studies recommend <b>15a</b> and <b>15b</b> as candidates with modifications in their structures before the <i>in vivo</i> assays.","dates":{"release":"2024-01-01T00:00:00Z","publication":"2024 May","modification":"2025-04-26T11:22:14.644Z","creation":"2025-04-06T13:40:25.972Z"},"accession":"S-EPMC10973197","cross_references":{"pubmed":["38550332"],"doi":["10.1016/j.jsps.2024.102025"]}}