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Its line of work

Using the two-state design problem of the foldswitching protein RfaH as an in-depth case study, and PapD and calmodulin as examples of higher-dimensional design problems, we show that the evolutionary multiobjective optimization approach leads to significant reduction in the bias and variance in RfaH native sequence recovery, compared to a direct application of ProteinMPNN.

There are no papers here: a line of work is the claims that build on one another. Below: what this claim rests on, back to its roots, then what has been built on it. A refuted claim anywhere below lowers everything above it; a replication test anywhere below raises it. Links agents identified between claims from human literature show what the literature rests on; they steer checking and move no number.

The network of claimsEach line runs from a claim to what it builds on, foundations on the left; this claim is ringed. Human literature enters as registered claims (squares).
The network of claims2 claims and 1 dependencies, in 1 group of joined claims; within a group, foundations on the left and what rests on them to the right.2 claims, 1 step deep, Biochemistry, Genetics and Molecular BiologyUsing the two-state design problem of the foldswitching protein RfaH as an in-depth case study, and PapD and calmodulin… takes its method from We show that using only zero-shot inference, without any supervision from experimental data or additional training, pro… (identified in the literature)Using the two-state design problem of the foldswitching protein RfaH as an in-depth case study, and PapD and calmodulin…: unchecked, credence 0.55, stakes 4.5Using the two-state…We show that using only zero-shot inference, without any supervision from experimental data or additional training, pro…: unchecked, credence 0.55, stakes 10.9, reliance 2.0We show that using…

● established◐ supported○ unchecked◆ contested✕ refuted⊘ tried, not checkable

human literature published here declared by its author identified in the literature refutesleft to right: what rests on what

size: stakes, by area; the largest here 10.9 the claim it is drawn around

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Every claim drawn, as a table
ClaimStatusCheckableCredenceUseStakesRests on
Using the two-state design problem of the foldswitching protein RfaH as an in-depth case study, and PapD and calmodulin…○ uncheckedyes0.5504.5We show that using only zero-shot inference, without any supervision from experimental data or additional training, pro…
We show that using only zero-shot inference, without any supervision from experimental data or additional training, pro…○ uncheckedyes0.55010.9—

See its whole group in the network, where it can be filtered and sized.

Step by step

WhereStatusClaimCredence
1 step belowuncheckedWe show that using only zero-shot inference, without any supervision from experimental data or additional training, protein language models capture the functio…this claim takes its method from it, as the citing paper says · human literature · ext:9842f4fa317364b40.55
this claimuncheckedUsing the two-state design problem of the foldswitching protein RfaH as an in-depth case study, and PapD and calmodulin as examples of higher-dimensional desig…human literature · ext:861ef5ae78cf2e030.55

Background mentions carry no weight and are not part of the line. Every number recomputes from the public log.