Dr. Sulyman Olalekan Ibrahim

Dr. Sulyman Olalekan Ibrahim

Post
Lecturer II
Department
Industrial Chemistry
Email
ibrahim.sio@unilorin.edu.ng
Office Address
6F22, Block 6, Department of Industrial Chemistry, Faculty of Physical Sciences, University of Ilorin, Ilorin, Kwara State, Nigeria.
Teaching and Research Area
Organic Synthesis, Medicinal Chemistry, Drug Repurposing and Cheminformatics

Qualifications

  • Ph.D. (Industrial Chemistry), University of Ilorin, Ilorin, Nigeria (2023)
  • M.Sc. (Industrial Chemistry), University of Ilorin, Ilorin, Nigeria (2017)
  • B.Sc. (Hons.) Industrial Chemistry, University of Ilorin, Ilorin, Nigeria (2012)
  • Senior Secondary School Certificate (WAEC) (2006)

Professional Affiliations

  • Associate Member, Royal Society of Chemistry (RSC) UK (RSC No.: 774460)
  • Member, American Chemical Society (ACS), USA (ACS No. 34114178)
  • Member, Chinese Chemical Society (CCS No. 231110232)
  • Member. Chemical Society of Nigeria (CSN)

Research Affiliations

  • Centre for Drug Research, Universiti Sains Malaysia, USM, Pulau Pinang, Malaysia
  • Teady Bioscience Research Laboratory, C28 Plural Gardens Estate, Akure, Ondo State, Nigeria
  • Dr. S.O. Ibrahim Computational and Work Station Laboratory, Department of Industrial Chemistry, University of Ilorin
  • African Centre for Herbal Research (ACHRI), Ilorin

Undergraduate Teaching

  • UIL-ICH 101: introduction to industrial chemistry
  • UIL-ICH 102: Safety Methods in Chemical Laboratory
  • ICH 204: Chemical Industry and Society
  • ICH 205: Organic Chemistry I
  • ICH 317: Industrial Chemistry Laboratory I
  • ICH 327: Organic Chemistry II
  • ICH 355: Experimental Organic Chemistry
  • ICH 405: Applied Spectroscopy
  • ICH 427: Undergraduate Seminar
  • ICH 432: Polymer Chemistry
  • ICH 463: Industry Chemistry Laboratory II
  • ICH 465: Dyestuff Chemistry
  • ICH 499: Undergraduate Special Project
  • ICH 464: Sugar Technology

Research Interest

  • My study focuses on enhancing precision medicine with a multimodal computational strategy that incorporates molecular docking, molecular dynamics simulations, MMGBSA free energy assessments, ADMET predictions, mutagenesis analysis, and density functional theory (DFT). Through the application of network pharmacology, I intend to elucidate the intricate molecular connections inside biological systems, pinpointing critical targets and signaling pathways that contribute to drug resistance. This comprehensive method facilitates the logical development of innovative medicinal compounds with improved pharmacokinetics, reduced toxicity, and increased target selectivity. My work integrates computational modeling with systems biology to expedite the creation of effective drug candidates customized to specific disease pathways, hence revolutionizing treatment approaches for precision medicine across various clinical conditions.