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Matrix metalloproteinases (MMPs) are a large family of calcium-dependent zinc-containing endopeptidases, which are responsible for the tissue remodeling and degradation of the extracellular matrix (ECM), including collagens, elastins, gelatin, matrix glycoproteins, and proteoglycan. They are regulated by hormones, growth factors, and cytokines, and are involved in ovarian functions. MMPs are excreted by a variety of connective tissue and pro-inflammatory cells including fibroblasts, osteoblasts, endothelial cells, macrophages, neutrophils, and lymphocytes. These enzymes are expressed as zymogens, which are subsequently processed by other proteolytic enzymes (such as serine proteases, furin, plasmin, and others) to generate the active forms. Matrix metalloproteinases are considered as promising targets for the treatment of cancer due to their strong involvement in malignant pathologies. Clinical/preclinical studies on MMP inhibition in tumor models brought positive results raising the idea that the development of strategies to inhibit MMPs may be proved to be a powerful tool to fight against cancer. However, the presence of an inherent flexibility in the MMP active-site limits dramatically the accurate modeling of MMP-inhibitor complexes. The interest in the application of quantitative structure-activity relationships (QSARs) has steadily increased in recent decades and we hope it may be useful in elucidating the mechanisms of chemical-biological interactions for this enzyme. In the present review, an attempt has been made to explore the in-depth knowledge from the classification of this enzyme to the clinical trials of their inhibitors. A total number of 92 QSAR models (44 published and 48 new formulated QSAR models) have also been presented to understand the chemical-biological interactions. QSAR results on the inhibition of various compound series against MMP-1, -2, -3, -7, -8, -9, -12, -13, and -14 reveal a number of interesting points. The most important of these are hydrophobicity and molar refractivity, which are the most important determinants of the activity.

Influenza is a major respiratory infection associated with significant morbidity in the general population and mortality in elderly and high-risk patients. It is an RNA virus that contains two major surface glycoproteins, neuraminidase and hemagglutinin. These proteins are essential for infection. Neuraminidase has been found to be a potential target to control influenza virus. In this paper, we have developed 17 quantitative structure-activity relationships (QSAR) for different sets of compounds to understand chemical-biological interactions governing their activities toward influenza neuraminidase.

Melanoma is one of the most aggressive forms of skin cancer and is currently attracting our attention particularly in the area of quantitative structure-activity relationships (QSAR). In the present review, an attempt has been made to collect the data for different sets of compounds and to discuss their toxicities toward melanoma cells by the formulation of a total number of 36 QSAR.

Compounds that have unexpected biological activity and are unable to fit in a QSAR model are known as outliers. These are valuable in defining the limitations under which compounds act by a common molecular mechanism modeled by one or more descriptors, and also in defining the experimental limitations of the biological test data. Thus, the outliers should be submitted to particular attention to see if the reason for their peculiarity can be determined. Separating these outliers from the main data set and formulating another QSAR can resolve the problem. Our result shows that these outliers may be acting by a different mechanism or interacting with the receptor in different modes.

An allosteric reaction has been found in a variety of instances where an inverted parabolic relationship between biological activity and hydrophobicity is apparent, that is the activity first decreases as hydrophobicity increases and after a certain point, activity begins to increase. This could be attributed to the ligands causing a change in the receptor structure. In this report, the role of hydrophobic properties of chemicals in promoting allosteric reactions have been discussed in term of hydrophobicity (logP) by the formulation of a total number of 50 QSAR equations. The QSAR model of this type may be represented by Eq. I.

The polarizability of a molecule, an important physical property, is currently attracting our attention particularly in the area of QSAR (quantitative structure-activity relationships) for chemical-biological interactions. Our primary focus in the present study has been upon the computational aspects by using NVE (sum of the valence electrons) as a means for estimating polarizability, we have been surprised at its utility. In this report we demonstrate how NVE can be related to the calculated polarizability from a variety of efforts to better understand the subject. A comparison between the use of two polarizability parameters, that is, NVE and CMR (calculated molar refractivity) in the formulation of QSAR for chemical-biological interactions has been also discussed.

Chemical-biological interactions in human are currently attracting our attention particularly in the area of QSAR (quantitative structure-activity relationships). In the present review, an attempt has been made to collect the data for the effect of chemicals in human and discussed by the formulation of a total number of 37 QSAR.

The polarizability of a molecule, an important physical property, is currently attracting our attention particularly in the area of QSAR for chemical-biological interactions. In this report, the polarizability effects on ligand-substrate interactions has been discussed in terms of NVE (number of valence electrons) using additive values for valence electrons and the formulation of a total number of 51 QSAR. The QSAR model can be illustrated by Eq. I. log 1/C = a(NVE) +/- constant

1,4-Naphthoquinones have already been recognized to possess a wide range of biological activities. We have developed quantitative structure activity relationships (QSAR) for different series of 2- or 6-substituted-5,8-dimethoxy-1,4-naphthoquinones to understand the chemical-biological interaction governing antiproliferative/cytotoxic activities against L1210 cells. QSAR results have shown that these activities of 2- or 6-substituted-5,8-dimethoxy-1,4-naphthoquinones depend largely on their hydrophobicity.

The prediction from structure of ADME (absorption, distribution, metabolism, elimination) of drug candidates is an important goal to achieve since it can considerably reduce the cost of drug development. Using our database of 10,700 QSAR, we are now reaching the point where we can make many useful comparisons that illustrate how ADME is a practical way to describe the way organic compounds react with living systems. We also show that Caco-2 cells are useful to model absorption, but the most generally useful parameter is the octanol/water partition coefficient. It should be noted, however, that in our opinion, an in silico prediction of ADME is still a long way in the future.

In continuing our QSAR study of apoptosis, we consider in this report the action of phenolic compounds on Ramos cells (non-Hodgkins B-cell lymphoma): the effect of O-8-thapsigargin analogues on human prostate cancer cells, Tsu-Pr-1 and the induction of apoptosis of a complex set of congeners on human fibrosarcoma cells HT 1080. The human prostate cancer cells activity is very similar to that of the Ramos cells. While the QSAR for the fibrosarcoma cells resembles that of our earlier study with L1210 leukemia cells. The two different types of QSAR suggest at least two quite different types of receptors for the induction of apoptosis.

A study of a very large database of QSAR (9100) has uncovered a few unusual examples where as one increases the hydrophobicity of the members of a set of congeners, activity decreases until at a certain point, activity begins to increase. Obviously a change in mechanism is involved. The only way we have found to rationalize this unusual event is by a change in the structure of the receptor. We have found this to occur with hemoglobin, a substance first used to define allosteric reactions.

A study of a variety of phenolic compounds (simple phenols, estradiol, bisphenol A, diethylstilbesterol) on their action on L1210 leukemia cells led to the formulation of the following QSAR for apoptosis:log 1/C=-3.16 Clog P+2.77 CMR-3.76n=11, r(2)=0.939, s=0.630, q(2)=0.892C is the molar concentration causing 25% apoptosis, Clog P is the calculated octanol/water partition coefficient and CMR is the calculated molecular refractivity. Our results imply the significance of characterization of the phenolic compounds with apoptotic activity and the development of new agents for cancer therapy.

Allosteric interactions have in the past been established by means of X-ray crystallography or careful study of a single molecule at a variety of concentrations. Here we report a method for using QSAR to establish a change in reaction mechanism by establishing an inversion point. That is, as polarizability of a member of a congeneric set of compounds is increased (as measured by CMR), activity at first decreases until, at the inversion, activity turns around and increases. Out of 23 examples, 14 have inversion points of 10+/-1. This includes a wide variety of receptors such as thrombin, 5-HT, dopamine, and tyrosine kinase acting with a variety of ligands.