Scientific capability / Paralog and Mutation-Aware Covalent Selectivity

Choose the counterscreen that could overturn your selectivity story.

A residue difference is a useful clue. BioTwin’s covalent-selectivity methods examine whether related proteins or mutations also differ in the local conditions that could govern engagement.

Current work Computational selectivity methods

Illustration of a small molecule near an exposed chemical group on a protein surface.

Source-based synthetic examples

Keep the near neighbor that can challenge the mechanism.

In a retained synthetic sequence example, the target and paralog A carry a cysteine at the aligned site; paralog B carries serine. The presence check identifies A as the immediate counterscreen priority. A separate mutation model then asks whether local chemistry supports a selectivity story: adding a negative charge 6 Å from the cysteine raises its modeled pKa and lowers its reactive thiolate fraction under the stated assumptions.

  1. Cys / Cys / SerCompare the aligned site

    Target and paralog A share the handle. Paralog B substitutes serine.

  2. −1 charge, 6 ÅChallenge the local chemistry

    In the separate toy electrostatic model, pKa rises and thiolate availability falls.

  3. Prioritize AChoose the matched counterscreen

    Test engagement against the conserved paralog; test mutant and original protein separately.

Two separate source-based synthetic examples: a sequence-presence check and a single-charge electrostatic model. Their outputs guide hypotheses; they do not measure selective engagement.
Explore the method and comparison sources
  • What the sequence result gives you · One of two supplied paralogs retains the cysteine. That is a concrete reason to test that paralog, while keeping broader off-target and recognition questions open.
  • What the mutation check adds · The toy model uses pH 7.4, an initial pKa of 8.9 and effective dielectric 20. Its predicted direction challenges an assumed reactivity advantage. Measure recognition and reaction separately in the matched proteins before treating the shift as useful selectivity.

From sequence difference to reaction hypothesis

A sequence alignment identifies conserved and substituted residues. The BioTwin assessment adds modeled structural and electrostatic context around a proposed handle. A residue can be present in two proteins while its environment differs; absence alone also leaves other off-target routes to consider.

Make the comparison experimental

Current output is a computational selectivity hypothesis. Choose relevant paralogs and variants for a matched counterscreen, separating recognition, reaction rate and exposure when they affect interpretation. Neither a non-conserved handle nor a modeled thiolate change proves selective engagement.

Selectivity has more than one source

Local electrostatic design could change target chemistry, while plasma competition could defeat it before engagement. Combining those questions may reveal why a favorable target/paralog comparison fails in a broader setting. Each component and its inputs need to be checked.

  • Local electrostatics · Compare recognition, reaction conditions and exposure to prioritize candidate designs and their next laboratory tests. Local electrostatics
  • Competing reactions · Follow the extracellular loss processes that may dominate capture. Competing reactions

Further reading

Which near neighbor poses the hardest test?

Identify the proposed handle and the paralogs or variants that matter to the program. Use that comparison to frame the counterscreen.