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Lewyn Li

Publications and source records attributed to Lewyn Li.

8 recordsLinked to original sources
PubMed2006

Contour length and refolding rate of a small protein controlled by engineered disulfide bonds.

The introduction of disulfide bonds into proteins creates additional mechanical barriers and limits the unfolded contour length (i.e., the maximal extension) measured by single-molecule force spectroscopy. Here, we engineer single disulfide bonds into four different locations of the human cardiac titin module (I27) to control the contour length while keeping the distance to the transition state unchanged. This enables the study of several biologically important parameters. First, we are able to precisely determine the end-to-end length of the transition state before unfolding (53 Angstrom), which is longer than the end-to-end length of the protein obtained from NMR spectroscopy (43 Angstrom). Second, the measured contour length per amino acid from five different methods (4.0 +/- 0.2 Angstrom) is longer than the end-to-end length obtained from the crystal structure (3.6 Angstrom). Our measurement of the contour length takes into account all the internal degrees of freedom of the polypeptide chain, whereas crystallography measures the end-to-end length within the "frozen" protein structure. Furthermore, the control of contour length and therefore the number of amino acids unraveled before reaching the disulfide bond (n) facilitates the test of the chain length dependence on the folding time (tau(F)). We find that both a power law scaling tau(F) lambda n(lambda) with lambda = 4.4, and an exponential scaling with n(0.6) fit the data range, in support of different protein-folding scenarios.

Amino Acid Sequence↗
PubMed2005

Stepwise unfolding of ankyrin repeats in a single protein revealed by atomic force microscopy.

Using single-molecule atomic force microscopy, we find that a protein consisting of six identical ankyrin repeat units flanked by N- and C-terminal modules (N6C) unfolds in a stepwise, unit-by-unit fashion under a mechanical force. Stretching a N6C molecule results in a sawtooth pattern fingerprint, with as many as six peaks separated by approximately 10 nm and an average unfolding force of 50 +/- 20 pN. Our results demonstrate that a stretching force can unfold multiple repeat units individually in a single protein molecule, despite extensive hydrophobic interactions between adjacent units.

Ankyrin Repeat↗
PubMed2005

Ligand binding modulates the mechanical stability of dihydrofolate reductase.

We use single-molecule force spectroscopy to demonstrate that the mechanical stability of the enzyme dihydrofolate reductase (DHFR) is modulated by ligand binding. In the absence of bound ligands, DHFR extends at very low forces, averaging 27 pN, without any characteristic mechanical fingerprint. By contrast, in the presence of micromolar concentrations of the ligands methotrexate, nicotinamide adenine dihydrogen phosphate, or dihydrofolate, much higher forces are required (82 +/- 18 pN, 98 +/- 15 pN, and 83 +/- 16 pN, respectively) and a characteristic fingerprint is observed in the force-extension curves. The increased mechanical stability triggered by these ligands is not additive. Our results explain the large reduction in the degradation rate of DHFR, in the presence of its ligands. Our observations support the view that the rate-limiting step in protein degradation by adenosine triphosphate-dependent proteases is the mechanical unfolding of the target protein.

Adenosine Diphosphate↗
PubMed2005

Mechanical unfolding intermediates observed by single-molecule force spectroscopy in a fibronectin type III module.

Domain 10 of type III fibronectin (10FNIII) is known to play a pivotal role in the mechanical interactions between cell surface integrins and the extracellular matrix. Recent molecular dynamics simulations have predicted that 10FNIII, when exposed to a stretching force, unfolds along two pathways, each with a distinct, mechanically stable intermediate. Here, we use single-molecule force spectroscopy combined with protein engineering to test these predictions by probing the mechanical unfolding pathway of 10FNIII. Stretching single polyproteins containing the 10FNIII module resulted in sawtooth patterns where 10FNIII was seen unfolding in two consecutive steps. The native state unfolded at 100(+/-20) pN, elongating (10)FNIII by 12(+/-2) nm and reaching a clearly marked intermediate that unfolded at 50(+/-20) pN. Unfolding of the intermediate completed the elongation of the molecule by extending another 19(+/-2) nm. Site-directed mutagenesis of residues in the A and B beta-strands (E9P and L19P) resulted in sawtooth patterns with all-or-none unfolding events that elongated the molecule by 19(+/-2) nm. In contrast, mutating residues in the G beta-strand gave results that were dependent on amino acid position. The mutation I88P in the middle of the G beta-strand resulted in native like unfolding sawtooth patterns showing an intact intermediate state. The mutation Y92P, which is near the end of G beta-strand, produced sawtooth patterns with all-or-none unfolding events that lengthened the molecule by 17(+/-2) nm. These results are consistent with the view that 10FNIII can unfold in two different ways. Along one pathway, the detachment of the A and B beta-strands from the body of the folded module constitute the first unfolding event, followed by the unfolding of the remaining beta-sandwich structure. Along the second pathway, the detachment of the G beta-strands is involved in the first unfolding event. These results are in excellent agreement with the sequence of events predicted by molecular dynamics simulations of the 10FNIII module.

Fibronectins↗
PubMed2003

Amino acids determining enzyme-substrate specificity in prokaryotic and eukaryotic protein kinases.

The binding between a PK and its target is highly specific, despite the fact that many different PKs exhibit significant sequence and structure homology. There must be, then, specificity-determining residues (SDRs) that enable different PKs to recognize their unique substrate. Here we use and further develop a computational procedure to discover putative SDRs (PSDRs) in protein families, whereby a family of homologous proteins is split into orthologous proteins, which are assumed to have the same specificity, and paralogous proteins, which have different specificities. We reason that PSDRs must be similar among orthologs, whereas they must necessarily be different among paralogs. Our statistical procedure and evolutionary model identifies such residues by discriminating a functional signal from a phylogenetic one. As case studies we investigate the prokaryotic two-component system and the eukaryotic AGC (i.e., cAMP-dependent PK, cGMP-dependent PK, and PKC) PKs. Without using experimental data, we predict PSDRs in prokaryotic and eukaryotic PKs, and suggest precise mutations that may convert the specificity of one PK to another. We compare our predictions with current experimental results and obtain considerable agreement with them. Our analysis unifies much of existing data on PK specificity. Finally, we find PSDRs that are outside the active site. Based on our results, as well as structural and biochemical characterizations of eukaryotic PKs, we propose the testable hypothesis of "specificity via differential activation" as a way for the cell to control kinase specificity.

Amino Acid Sequence↗
PubMed2002

Topological determinants of protein folding.

The folding of many small proteins is kinetically a two-state process that represents overcoming the major free-energy barrier. A kinetic characteristic of a conformation, its probability to descend to the native state domain in the amount of time that represents a small fraction of total folding time, has been introduced to determine to which side of the free-energy barrier a conformation belongs. However, which features make a protein conformation on the folding pathway become committed to rapidly descending to the native state has been a mystery. Using two small, well characterized proteins, CI2 and C-Src SH3, we show how topological properties of protein conformations determine their kinetic ability to fold. We use a macroscopic measure of the protein contact network topology, the average graph connectivity, by constructing graphs that are based on the geometry of protein conformations. We find that the average connectivity is higher for conformations with a high folding probability than for those with a high probability to unfold. Other macroscopic measures of protein structural and energetic properties such as radius of gyration, rms distance, solvent-accessible surface area, contact order, and potential energy fail to serve as predictors of the probability of a given conformation to fold.

Kinetics↗