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In Quest to Address Chemistry by Computer Experiments
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Athar: The computational Chemist

Looking into the Science by Computer Experiments

Welcome. I am Mohd Athar, computational chemist trained in medicinal chemistry and supramolecular chemistry.  My track record will tell you that my research is quite eclectic as I have published work across various disciplines, spanning chemical sensors,  supramolecular interactions, drug-discovery strategies (ligand/protein). I love to tinker with technology, employ new methods and software for a variety of applications.

Presently, I am working as a PostDoc at Department of Physics, University of Cagliari, Italy on the 'computational study of interaction of inhibitors with efflux proteins'. Currently, investigating RND transporter in particular AcrAB-Tolc and MexAB-OprM in regard to the transportation of the substrate along the channel.

Before this, I worked as a  Institute Post-Doc Fellow (IPDF) at Indian Institute of Technology Madras, Chennai. There, I investigated the electronic structure of fullerene and their charge-transfer complex with anions. As a IPDF,  I modeled charge-transfer, non-covalent interaction and self-assembly behaviour of non-covalent conjugates. Majorly I use approaches like DFT electronic structure calculations, Energy decomposition analysis, Charge-transfer analysis, QTAIM and All-atom Molecular dynamics simulations.
Previously (Feb 2019 to Dec 2020), I had also worked as a postdoc at InStem, TIFR, NCBS Bangalore. There, I used computational tools to facilitate the design and optimization of potent and selective small molecules against various targets. Major focus was on modeling of protein - peptide interactions and prediction of mutational key hotspots in the protein to alter its functions.
Overall research pursuits lie in the area of Medicinal Chemistry ranging from Drug Discovery, Combinatorial Chemistry, Insilico Virtual Screening, Lead Optimization/Designing, Target Identification to its Validation. Additionally, I am also betrothed in In-Silico designing of conformation locked supramolecules pertaining to their structural, energetics & their Molecular recognition modelling especially of Calixarenes. Presently, actively collaborating with researchers in several other disciplines of Chemistry and Life Sciences to further validate their research findings exclusively related to Bioactivity, and denovo ligand design. Besides, my expertee mainly devoted to computational/bioinformatics tactics like Molecular Docking/Inverse Docking (Induced Fit, Flexible & Rigid), Molecular Dynamics, Homology Modelling, Pharmacophore Mapping, QSAR/QSPR Virtual Screening/Ranking/Scoring.

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Earlier, during my Ph.D (SRF) in Computational Chemistry Group (CCG@CUG), I hold DST-INSPIRE Fellowship awarded by the Ministry of Science and Technology (DST) India. Have completed PG (Applied Chemistry) at BBA Central University Lucknow with GoldMedal, and UG studies (Biotechnology) from HNBGU.  Earlier, I have also participated in various International-National conferences & workshops and bestowed two best presentation awards to his name.

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Mohd Athar

Professional Experience

4-08-2021 to till now

Post-Doctoral Scientist (Molecular Modeling Lab, Department of Physics), University of Cagliari, Monserrato (CA), ITALY

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14-12-2020 to Aug 2021

Post-Doctoral Fellow (Colloids & Interface Lab,  Department of Chemistry), Indian Institute of Technology Madras, Chennai, India.

Supervisor: Prof. Archita Patnaik

Computational investigation of the electronic structure of substituted fullerene and their non-covalent dyads pertaining to non-covalent interaction, charge-transfer and self-assembly behaviour.

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04-02-2019 to 14-12-2021

Post-Doctoral Researcher (computational chemistry team) Centre for Chemical Biology and Therapeutics, NCBS, TIFR, Bangalore, India.

Supervisor: Dr. Kavitha Bharatham

At NCBS, I used computational tools to facilitate the design and optimization of potent and selective small molecules against various targets. Modeling of protein-peptide interactions and prediction of mutational key hotspots in the protein to alter its functions.

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Last Designation (2014-2018): DST-INSPIRE Senior Research Fellow (SRF)

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Citation Index

PhD Work

I have started my research career as doctoral fellow in computational chemistry by learning the theoretical methods for modeling the chemical systems. The journey was started with Molecular mechanics (MM), QSAR, docking and pharmacophore that later were implemented for vinyl sulphones, tubulin binders, ionic liquids, and vinca alkaloids modelling (reference attached in papers). In this course, some of the challenging bottlenecks of draggability criteria were also addressed in expectations of proposing molecular attributes-based filters against biological targets. Subsequently, after learning the computational basics and quantum mechanical methods (ab-initio and DFT), in particular; I have shifted to my Ph.D. research problem i.e., understanding the electronic, structural and biological properties of the calixarene derivatives.  Calix[n]arene or metacyclophanes [1n], are amongst the most versatile platforms that constitute an important and indispensable part of supramolecular architectures. In particular, oxacalix[4]arenes (OC), in which the methylene bridge replaced by an oxygen, hold additional recognition features. Motivating from the fact that knowledge of conformational behaviour is ideal for implementing and designing the oxacalixarenes, the conformational preferences of OC (cone, 1,3-alternate, partial cone and 1,2-alternate) were studied in gas and solvent phases at Density Functional Theory (DFT) level to unveil the energetics and conformational equilibrium. It was observed that the 1,3-alternate conformer was relatively more stable due to the presence of bridged oxygen that strengthen the cation pi and pi-pi interactions in this conformer. Furthermore, the fate of complexation and distribution of electrostatic potential with population analysis (NBO and mulliken); crucial for the analyte recognition were also examined. Similarly, we have appraised calix[4]tetrolarenes for the conformational energetics and examined the role of methyl substitution on the stability of varied conformers. We found that the conformational profile of calix[4]tetrolarene changes by incorporating –OMe group. Looking at the RMSD, it is clear that B97D and wB97XD functionals gave the most accurate result. Furthermore, NBO calculation demonstrated that reduction in charges at lower rim oxygens reduces the chances of hydrogen bonding. We concluded that upon substituting another –OMe group at ipso, para position; the conformational equilibrium changes from cone to 1,3-Alternate. Owing to the methoxy substitutions, anion binding study of these new molecules indicates their promising capability to bind Cl- and F- ions. This study has shifted our interest for anion recognition by one of the widely studied urea/thiourea scaffolds. We subsequently modelled urea/thiourea substituted calix[4]arenes for their binding with spherical (F -, Cl-, Br-, I-) and linear anions (N3-  and SCN-). This study uses the binding energies to address structural basis of anion binding and explains the molecular basis of interactions between the host-guest systems.  Using the available experimental information, we were able to conclude that thiourea substitutions with NH donor have better capability to stabilize the anions as compare to urea. However, everytime the strength of interaction is not the sole deciding criteria, rather structural orientation of macrocyclic motifs is also responsible for ranking hosts binding potentials. Therefore, in one of the host the favourable arrangement of steric features lead to deprioritize thiourea substituted calixarene. This study suggest that synergy of chemical functionality alongwith favourable orientation of supramolecule governs the selectivity/specificity host for particular guest.

In the scenario of host-guest system, guest-responsive structural changes were also studied by taking the calixpyrrole as the modelled system. Their complexes with lower alcohols were studied. In particular, this work describes molecular assembly behaviours and long-range cooperative effects that are mainly encoded by the charge polarising effects. A quantitative assessment was made for different alcohols by correlating the cooperative effects with the partial charges.

Knowing the host-guest binding principle, I have implemented this knowledge to design calixarene based host system (recognition pairs) for tyrosine kinase inhibitors (TKI’s). Specifically, the end-focus was to improve the bioavailability profile of these second generation TKI’s with the monomolecular drug carrier. In that course, functionalized calix[n]arene (n=4, 5, 6  and  8) via appended groups SO3H, tert-Butyl (t-Bu), iso-Propyl (i-Pr), COOH, C2H4OH, and C2H4NH2  were appraised for the formation of optimal complex with six  TKI’s (gefitinib, regorafenib and sunitinib, nilotinb,  lapotinib  and dasatinib). A total of 144 complexes were explored for the predominantly involved selective and dynamic interactions using the shape based fitting algorithms, electronic structure methods, MM-GBMV and MD simulations. From this study, we conclude that there is no apparent selectivity in the orientation and insertion mode for a particular calix[n]arene and TKI’s. It was found that more coordinating nature of the substituent at the upper rim yield the most stable complexes over the less coordinating substituents. Within our studied chemical space, calix[n]arenes with n = 6 and 8 are the most promising drug carriers owing to their ability to wrap around the TKI’s and thereby maximize non-bonded interactions. 

Other than that, I have also expand the landscape of my PhD work by studying the “turn off” fluorescence ability of functionalized calix[4]arene for the selective detection of analytes like pendimethalin (PM), N-methyl-p-nitroanilne (NMA), copper ion sensing and selective binding with cerium (III) ion. Also, molecular interaction were unveiled for the dye degradation by substituted calixarenes and their inability to reduced/stabilized metal salts.

My Viewpoint

Hard work has no substitute..

 

Mohd Athar (Me)

MY Research Profiles

Click on image to get the details

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Specialization and Area of Interest

  • Major research pursuits lie in the area of DFT modeling of conformational energetics and the interaction modes in complexes.

  • In-silico designing of supramolecules pertaining to their structural, energetics & Molecular recognition.

  • Medicinal Chemistry ranging from Drug Discovery, QSAR, Combinatorial Chemistry, In-silico Virtual Screening, Lead Designing.

​​Good working hand on modern theoretical modelling packages :

  1. Docking -Molegro, Glide (Schrödinger), Biosuite, Discovery studio

  2. Molecular dynamics studies –Desmond, NAMD, Discovery Studio, LAMPS

  3. PharmacophoreGeneration–PHASE, HypoGen, Hiphop

  4. QSAR studies–Discovery Studio, SYBYL (CoMFA, CoMSIA), Field-Based QSAR

  5. Visualization Software-Chimera, PyMol, Maestro,GaussView, LigPLOT

  6. DFT Studies–Gaussian G09, TURBOMOLE, Spartan, Arguslab

  7. Structure Sketch-Marvin Sketch, Chemdraw, Hyperchem

 

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Other Skills

  • Have the functional understanding of Windows as well Linux based operating systems.

  • Working knowledge of MS-Office, ChemOffice (including ChemDraw Ultra 7.0 10 and 11, ACD ChemSketch (5.12), Adobe Photoshop (7.0), Endnote, Latex and Reference Manager for bibliography preparations.

  • Skilled in using pubs.acs.org, sciencedirect.com, interscience.wiley.com, Entrez, PubMed, rsc.org, orgsyn.org., springerlink.com, U.S. patent and European patent databases.

  • Biological database search–Sequence and structure databases, Genome and Organism Specific databases, file formats associated with databases.

  • Protein Structure Prediction

  • Structural Classification databases –CATH

  • Protein structure prediction – GOR4PROTPARAM , RASMOL

  • Homology Modeling tools -SWISS model, MODELLER, Yasara

  • Structure validation tools –WATIF Server

  • Softwares used to search the online data base: Discovery Gate (Cross fire Beilstein, MDL database), Reaxys, and Sci-Finder

I'd love to hear from you

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