Papain-like lysosomal cysteine proteases and their inhibitors: drug discovery targets?

2003 ◽  
Vol 70 ◽  
pp. 15-30 ◽  
Author(s):  
Dŭsan Turk ◽  
Boris Turk ◽  
Vito Turk

Papain-like lysosomal cysteine proteases are processive and digestive enzymes that are expressed in organisms from bacteria to humans. Increasing knowledge about the physiological and pathological roles of cysteine proteases is bringing them into the focus of drug discovery research. These proteases have rather short active-site clefts, comprising three well defined substrate-binding subsites (S2, S1 and S1') and additional broad binding areas (S4, S3, S2' and S3'). The geometry of the active site distinguishes cysteine proteases from other protease classes, such as serine and aspartic proteases, which have six and eight substrate-binding sites respectively. Exopeptidases (cathepsins B, C, H and X), in contrast with endopeptidases (such as cathepsins L, S, V and F), possess structural features that facilitate the binding of N- and C-terminal groups of substrates into the active-site cleft. Other than a clear preference for free chain termini in the case of exopeptidases, the substrate-binding sites exhibit no strict specificities. Instead, their subsite preferences arise more from the specific exclusion of substrate types. This presents a challenge for the design of inhibitors to target a specific cathepsin: only the cumulative effect of an assembly of inhibitor fragments will bring the desired result.

1998 ◽  
Vol 379 (2) ◽  
Author(s):  
Dušan Turk ◽  
Gregor Gunčar ◽  
Marjetka Podobnik ◽  
Boris Turk

Molecules ◽  
2021 ◽  
Vol 26 (9) ◽  
pp. 2605
Author(s):  
Suman Kumar Mandal ◽  
Parthapratim Munshi

Optimization of lead structures is crucial for drug discovery. However, the accuracy of such a prediction using the traditional molecular docking approach remains a major concern. Our study demonstrates that the employment of quantum crystallographic approach-counterpoise corrected kernel energy method (KEM-CP) can improve the accuracy by and large. We select human aldose reductase at 0.66 Å, cyclin dependent kinase 2 at 2.0 Å and estrogen receptor β at 2.7 Å resolutions with active site environment ranging from highly hydrophilic to moderate to highly hydrophobic and several of their known ligands. Overall, the use of KEM-CP alongside the GoldScore resulted superior prediction than the GoldScore alone. Unlike GoldScore, the KEM-CP approach is neither environment-specific nor structural resolution dependent, which highlights its versatility. Further, the ranking of the ligands based on the KEM-CP results correlated well with that of the experimental IC50 values. This computationally inexpensive yet simple approach is expected to ease the process of virtual screening of potent ligands, and it would advance the drug discovery research.


2005 ◽  
Vol 77 (11) ◽  
pp. 1957-1964 ◽  
Author(s):  
Kelly Chibale

In order to fulfill research objectives around target-based drug discovery in the field of anti-infective agents that are prevalent mainly in poor Third World countries, selection of biological and chemical targets is guided by economic drug discovery and rational medicinal chemistry. Selection of biological targets of therapeutic relevance in multiple disease-causing organisms, as well as the use of natural products and existing drugs as chemical scaffolds for the discovery and design of novel therapeutics should be viable strategies underpinning drug discovery research in poor Third World countries. In this regard, biological targets of interest to our program include disulfide reductases and cysteine proteases (CPs), while chemical scaffolds include existing antimalarial agents and natural products.


2014 ◽  
Vol 464 (1) ◽  
pp. 123-133 ◽  
Author(s):  
Jenny E. Harmer ◽  
Martyn J. Hiscox ◽  
Pedro C. Dinis ◽  
Stephen J. Fox ◽  
Andreas Iliopoulos ◽  
...  

The biosynthesis of lipoyl cofactors requires two lipoyl synthase-mediated sulfur insertions. We report the crystal structures of a lipoyl synthase complexed with S-adenosylhomocysteine or 5′-methylthioadenosine. Models based on these structures identify likely substrate-binding sites.


1999 ◽  
Vol 340 (3) ◽  
pp. 845-853 ◽  
Author(s):  
Magang SHOU ◽  
Qin MEI ◽  
JR. Michael W. ETTORE ◽  
Renke DAI ◽  
Thomas A. BAILLIE ◽  
...  

Cytochrome P450 3A4 (CYP3A4) plays a prominent role in the metabolism of a vast array of drugs and xenobiotics and exhibits broad substrate specificities. Most cytochrome P450-mediated reactions follow simple Michaelis-Menten kinetics. These parameters are widely accepted to predict pharmacokinetic and pharmacodynamic consequences in vivo caused by exposure to one or multiple drugs. However, CYP3A4 in many cases exhibits allosteric (sigmoidal) characteristics that make the Michaelis constants difficult to estimate. In the present study, diazepam, temazepam and nordiazepam were employed as substrates of CYP3A4 to propose a kinetic model. The model hypothesized that CYP3A4 contains two substrate-binding sites in a single active site that are both distinct and co-operative, and the resulting velocity equation had a good fit with the sigmoidal kinetic observations. Therefore, four pairs of the kinetic estimates (KS1, kα, KS2, kβ, KS3, k∆, KS4 and kγ) were resolved to interpret the features of binding affinity and catalytic ability of CYP3A4. Dissociation constants KS1 and KS2 for two single-substrate-bound enzyme molecules (SE and ES) were 3-50-fold greater than KS3 and KS4 for a two-substrate-bound enzyme (SES), while respective rate constants k∆ and kγ were 3-218-fold greater than kα and kβ, implying that access and binding of the first molecule to either site in an active pocket of CYP3A4 can enhance the binding affinity and reaction rate of the vacant site for the second substrate. Thus our results provide some new insights into the co-operative binding of two substrates in the inner portions of an allosteric CYP3A4 active site.


1991 ◽  
Vol 12 ◽  
pp. 422-426 ◽  
Author(s):  
Ferdinand Hucko ◽  
Jaak Järv ◽  
Christoph Weise

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