Slavov, C. | Search bioRxiv

bioRxiv2022

Molecular snapshots of drug release from tubulin over eleven orders of magnitude in time

The binding and release of ligands from their protein targets is central to fundamental biological processes as well as to drug discovery. Photopharmacology introduces chemical triggers that allow the changing of ligand affinities and thus biological activity by light. Insight into the molecular mechanisms of photopharmacology is largely missing because the relevant transitions during the light-triggered reaction cannot be resolved by conventional structural biology. Using time-resolved serial crystallography at a synchrotron and X-ray free-electron laser, we captured the release of the anti-cancer compound azo-combretastatin A4 and the resulting conformational changes in tubulin. Nine structural snapshots from 1 ns to 100 ms complemented by simulations show how cis-to-trans isomerization of the azobenzene bond leads to a switch in ligand affinity, opening of an exit channel, and collapse of the binding pocket upon ligand release. The resulting global backbone rearrangements are related to the action mechanism of microtubule-destabilizing drugs.

molecular biology↗

bioRxiv2020

Temperature Dependence of the Krokinobacter rhodopsin 2 Kinetics

Here we applied target analysis to a temperature dependent flash photolysis dataset of the light-driven sodium ion pump Krokinobacter rhodopsin 2 (KR2) at sodium pumping conditions. With an increase in temperature from 10 - 40 {degrees}C, the overall photocycle duration was accelerated by a factor of six, while single transitions like the L to M transition increased by a factor of 40. Using kinetic modeling with the Eyring constraint as well as spectral corrections on the datasets the spectral position as well as the equilibria of the different photointermediates could be resolved. The results provide further insight into KR2s photocycle and energetics. STATEMENT OF SIGNIFICANCEKR2 is the most prominent member of the new class of non-proton cation pumps, as it represents an interesting new optogenetic tool. Despite widespread biophysical investigations, the molecular mechanisms of light-induced sodium pumping in KR2 are still not sufficiently understood. Therefore, an expanded set of thermodynamic parameters is essential for a complete picture. Our study of the KR2 photocycle shows that different steps in the photocycle are affected differently by temperature changes. Rigorous data analysis provides strong evidence that the transient states observed in time-resolved experiments represent rather equilibria between the different photocycle intermediates than pure intermediates. Gaining access to the dynamics and energetics of KR2 helps to answer long standing open questions concerning the molecular mechanism of cation pumping.

biophysics↗

bioRxiv2019

The effect of sample size on polygenic hazard models for prostate cancer

We aimed to determine the effect of sample size on performance of polygenic hazard score (PHS) models in predicting the age at onset of prostate cancer. Age and genotypes were obtained for 40,861 men from the PRACTICAL consortium. The dataset included 201,590 SNPs per subject, and was split into training (34,444 samples) and testing (6,417 samples) sets. Two PHS model-building strategies were investigated. Established-SNP model considered 65 SNPs that had been associated with prostate cancer in the literature. A stepwise SNP selection was used to develop Discovery-SNP models. The performance of each PHS model was calculated for random sizes of the training set (1 to 30 thousand). The performance of a representative Established-SNP model was estimated for random sizes of the testing set (0.5 to 6 thousand). Mean HR98/50 (hazard ratio of top 2% to the average in the test set) of the Established-SNP model increased from 1.73[95%CI: 1.69-1.77] to 2.41[2.40-2.43] when the number of training samples was increased from 1 to 30 thousand. The corresponding HR98/50 of the Discovery-SNP model increased from 1.05[0.93-1.18] to 2.19[2.16-2.23]. HR98/50 of a representative Established-SNP model using testing set sample sizes of 0.6 and 6 thousand observations were 1.78[1.70-1.85] and 1.73[1.71-1.76], respectively. We estimate that a study population of 20 to 30 thousand men is required to develop Discovery-SNP PHS models for prostate cancer. The required sample size could be reduced to 10 thousand samples, if a set of SNPs associated with the disease has already been established.\n\nAuthor summaryPolygenic hazard scores represent a recent advancement in polygenic prediction to model the age of onset of various diseases, such as Alzheimers disease or prostate cancer. These scores accumulate small effect sizes from several tens of genetic variants and can be used to establish an individuals risk of experiencing an event relative to a control population across time. The largest barrier to the development of polygenic hazard scores is the large number of study subjects needed to develop the underlying models. We sought to understand the effect of varying the total number of samples on the performance of a polygenic hazard score in the context of prostate cancer. We found that the performance of the score did not appreciably change beyond 20 to 30 thousand observations when developing the model from scratch. However, when the discovery of the genetic variants can be borrowed from those already identified in the literature to be associated with the disease, the required number of samples is reduced to 10 thousand with no appreciable detriment in performance. We hope that these results can guide the design of future studies of polygenic scores in other diseases and demonstrate the importance of genome-wide association studies.

genetics↗