The Membrane-Proximal Tryptophan-Rich Region of the HIV Glycoprotein, gp41, Forms a Well-Defined Helix in Dodecylphosphocholine Micelles<sup>,</sup>
Bibliographic record
Abstract
The membrane-proximal tryptophan-rich region of the HIV transmembrane glycoprotein, gp41, plays an important role in the membrane fusion reaction. Using NMR spectroscopy, we have studied the tertiary structure of a synthetic 19-residue amidated peptide (NH2-KWASLWNWFNITNWLWYIK-CONH2) corresponding to this region in membrane-mimetic environments. Initial experiments in sodium dodecyl sulfate/H2O micelles and trifluoroethanol gave poor results, because of low solubility. However, in dodecylphosphocholine micelles, we obtained excellent 500 and 800 MHz NMR spectra, suggesting that the peptide has a preference for a zwitterionic membrane-like environment. The final NMR structures demonstrated a well-defined helical peptide with a backbone rmsd of 0.47 +/- 0.18 A. Four of the five tryptophan residues, as well as the tyrosine residue, formed a "collar" of aromatic residues along the axial length of the helix. By analogy to related tryptophan-rich antimicrobial peptides, the structure indicates that the aromatic residues of the HIV peptide are positioned within the membrane-water interface of a phospholipid bilayer. This is confirmed by the observation of direct NOEs between the aromatic residues of the peptide to the headgroup and interfacial protons of prototonated dodecylphosphocholine. The bulk of the polar residues are positioned on one face of this structure, with the hydrophobic phenylalanine side chain on the opposing face, forming an amphipathic structure. This work shows that the Trp-rich membrane-proximal region of HIV and related viruses can bind to the surfaces of zwitterioninc membranes in a "Velcro-like" manner.
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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) | 0.000 | 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".