Ni(II) binding affinity and specificity of solute binding proteins: the importance of the double His motif and variable loop revealed by structural and mutational studies
Bibliographic record
Abstract
Abstract Extracytoplasmic solute binding proteins (SBPs) are molecular shuttles involved in the cellular uptake of various small molecules and metal ions including Ni(II). Our previous study with the Ni(II) binding proteins (NiBPs) Cj NikZ from Campylobacter jejuni and Cc NikZ-II from Clostridium carboxidivorans demonstrated they were able to bind Ni(II) at low micromolar affinity without the need for additional chelators. Here, we determined the crystal structure of apo Cc NikZ-II, which revealed a Ni(II) binding site comprised of the highly conserved double His (HH-)prong (His511, His512) and a short variable (v-)loop nearby (Thr59-Thr64, TEDKYT). Alanine scanning mutagenesis of the Cc NikZ-II Ni(II) binding site identified Glu60 and His511 as essential for high affinity binding to Ni(II). Phylogenetic analysis of >4000 SBP sequences demonstrated the presence of two clusters of proteins containing the HH-prong with Cc NikZ-II and Cj NikZ. To provide insights into the role of the double His-prong and v-loop sequence in Ni(II) binding of NiBPs, nine purified Cc NikZ-II homologues containing the HH-prong and v-loop were screened using an automated screening workflow. Metal binding assays with purified homologous NiBPs revealed high Ni(II) binding affinity without requirement for chelators indicating that the double His prong represents a signature motif for the presence of Ni(II) binding activity in SBPs. The engineered Cc NikZ-II variants with the wild type v-loop (TEDKYT) replaced with v-loops from NiBPs with higher affinity showed up to an order of magnitude higher affinity for Ni(II). In addition, the v-loop appears to play a role in metal ion specificity as purified wild type and engineered NiBPs with different v-loop sequences showed distinct metal profiles. This work paves way for metalloprotein engineering of NiBPs towards biocatalytic and metal recovery applications.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".