DFT based Computational Methodology of IC50 Prediction

BACKGROUND

IC₅₀ is one of the most important parameters of a drug. But, it is very difficult to predict this value of a new compound without experiment. There are only a few QSAR based methods available for IC₅₀ prediction, which is also highly dependable on a huge number of known data. Thus, there is an immense demand for a sophisticated computational method of IC₅₀ prediction in the field of in silico drug designing.

OBJECTIVE

Recently developed quantum computation based method of IC₅₀ prediction by Bag and Ghorai requires an affordable known data. In present research work, further development of this method is carried out such that the requisite number of known data being minimal.

METHODS

To retrench the cardinal data span and shrink the effects of variant biological parameters on the computed value of IC₅₀, a relative approach of IC₅₀ computation is pursued in the present method. To predict an approximate value of IC₅₀ of a small molecule, only the IC₅₀ of a similar kind of molecule is required for this method.

RESULTS

The present method of IC₅₀ computation is tested for both organic and organometallic compounds as HIV-1 capsid A inhibitor and cancer drugs. Computed results match very well with the experiment.

CONCLUSION

This method is easily applicable to both organic and organometallic compounds with acceptable accuracy. Since this method requires only the dipole moments of an unknown compound and the reference compound, IC₅₀ based drug search is possible with this method. An algorithm is proposed here for IC₅₀ based drug search.

Catalytic formation of N3-substituted quinazoline-2,4(1H,3H)-diones by Pd(ii)EN@GO composite and its mechanistic investigations through DFT calculations

Modified GO based palladium composite was synthesized for catalytic synthesis of N3-substituted ouinazoline-2,4(1H,3H)-diones and the mechanistic route was theoretically investigated.

Nanoporous water oxidation electrodes with a low loading of laser-deposited Ru/C exhibit enhanced corrosion stability

For the oxidation of water to dioxygen, oxide-covered ruthenium metal is known as the most efficient catalyst, however, with limited stability. Herein, we present a strategy for incorporating a Ru/C composite onto a novel nanoporous electrode surface with low noble metal loading and improved stability. The Ru/C is coated on the pore walls of anodic alumina templates in a one-step laser-induced deposition method from Ru₃(CO)₁₂ solutions. Scanning electron microscopy proves the presence of a continuous Ru/C layer along the inner pore walls. The amorphous material consists of metallic Ru incorporated in a carbonaceous C matrix as shown by X-ray diffraction combined with Raman and X-ray photoelectron spectroscopies. These porous electrodes reveal enhanced stability during water oxidation as compared to planar samples at pH 4. Finally, their electrocatalytic performance depends on the geometric parameters and is optimized with 13 μm pore length, which yields 2.6 mA cm^-2, or 49 A g^-1, at η = 0.20 V.

Enhancement of biocompatibility and photoacoustic contrast activity of metal clusters

Organometallic carbonyl clusters (OMCC) of group VIII elements are water soluble, bio-compatible and stable high-contrast photoacoustic agents for live cell imaging. But, they have limited application due to weak absorption within 700-1000nm wavelength which is known as the biological window of absorption. In this article, we report that hexa-nuclear iron (Fe₆) carbonyl cluster derivatized with sodium thio-propanoate has very good absorption within 700-1600nm wave length. This modeled compound is water soluble and bio-compatible. The bio-compatibility of this compound is tested through cytotoxicity, LogP and metabolic probability at CYP450-2D6 enzyme.