As we noted in our thousandth post, covalent drugs are becoming increasingly popular, particularly for
tackling tough targets. But finding and optimizing covalent ligands entails
unique challenges, as discussed in a new paper by Bharath Srinivasan at Cancer
Research UK. (Derek Lowe also recently blogged about this.)
Interactions between noncovalent
drugs and their targets are characterized by dissociation or inhibition
constants KD or KI , where lower numbers
mean stronger binding. In contrast, irreversible covalent drugs are
characterized by a ratio we discussed last year, kinact/KI,
where the rate constant kinact represents the covalent
modification step. (Side note: although the term kinact is
commonly used, covalent modulators can also be activators; my company Frontier
Medicines recently announced a covalent activator of p53Y220C.
Perhaps kcov would be more general?)
To explain kinact/KI,
Srinivasan draws a useful analogy to enzymes, which are mechanistically
described by the specificity constant kcat/Km in Michaelis-Menten kinetics. In both cases, higher numbers mean more rapid modification or greater catalytic
efficiency. A study of several thousand enzymes found the median kcat/Km
to be around 100,000 M-1s-1, with 60% between 1,000 and 1,000,000
M-1s-1. Enzymes operate by stabilizing the transition
state of the reaction, which means that the affinities for the substrates do
not necessarily have to be high, particularly if the structures of the substrates
differ from the transition states.
Just as catalytic efficiency for
enzymes can be increased either by increasing kcat or
lowering Km, the inactivation efficiency of covalent drugs
can be optimized either by increasing kinact or by decreasing
KI. Historically, drug hunters have focused on the latter; we previously described the discovery of TAK-020 in which the affinity of a fragment for
the kinase BTK was first optimized and then a covalent warhead was appended.
However, focusing on kinact
can also be productive, and Srinivasan argues this is particularly true for
challenging targets with shallow pockets where noncovalent affinity is
difficult to obtain. As a case in point he discusses covalent KRASG12C
inhibitors such as sotorasib, which I wrote about here. Just as residues within
enzyme active sites stabilize the transition state of a reaction, a lysine
residue in KRAS forms a hydrogen bond to the carbonyl of the acrylamide
electrophile, thereby increasing its reactivity for the protein.
Srinivasan emphasizes that kinact
is specific for each particular protein-ligand pair as well as distinct from
intrinsic or chemical reactivity. This is a critical point. Newcomers to the
field often worry that a high kinact value means a molecule
is generically reactive and thus likely to react with many proteins, but this
is not necessarily true. For example, sotorasib’s favorable kinact/KI
is driven by a high kinact for KRASG12C but it is
still quite specific. Indeed, Srinivasan points out that even a chemically
reactive molecule may not react with a protein if the geometry isn’t right.
A nice way of assessing specific
reactivity (which unfortunately is not cited) is the reactivity
enhancement factor, or REF, as defined by Alan Armstrong, David Mann, and
colleagues at Imperial College London in an (open-access) 2020 ChemBioChem
paper. Akin to the kcat/kuncat ratio used to
assess rate enhancement for enzymes, REF is defined as the rate of reaction for
a specific protein divided by the rate of reaction for glutathione, an abundant
cellular thiol. The higher the REF score, the higher the specific reactivity for
the protein of interest.
Srinivasan also considers
tradeoffs between kinact and KI as kinact/KI
approaches the rate of diffusion, suggesting that above 1,000,000 M-1s-1
or so any further improvement in affinity will come at the cost of specific
reactivity. While this is theoretically interesting, from a practical
perspective you can have a perfectly fine drug with a kinact/KI
of just 10,000 M-1s-1.
Covalent drugs will only become
more important as we pursue increasingly hard targets that have resisted
previous efforts. For these targets in particular, focusing on specific
reactivity will be rewarding.
1 comment:
Hi, great post.
Would REF be a valid parameter to describe selectivity of covalent ligands reacting with other residues than Cys, say e.g. Ser or Lys?
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