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Saglam, A.

Publications and source records attributed to Saglam, A..

2 recordsLinked to original sources

Cross-modal integration of reward value during oculomotor planning

Reward value guides goal-directed behavior and modulates early sensory processing. Rewarding stimuli are often multisensory but it is not known how reward value is combined across sensory modalities. Here we show that the integration of reward value critically depends on whether the distinct sensory inputs are perceived to emanate from the same multisensory object. We systematically manipulated the congruency in monetary reward values and the relative spatial positions of co-occurring auditory and visual stimuli that served as bimodal distractors during an oculomotor task. The amount of interference induced by the distractors was used as an indicator of their perceptual salience. Our results across two experiments show that when reward value is linked to each modality separately, the value congruence between vision and audition determines the combined salience of the bimodal distractors. However, reward value of vision wins over the value of audition if visual and auditory stimuli have been experienced as belonging to the same audiovisual object prior to the learning of the reward values. The perceived spatial alignment of auditory and visual stimuli is a prerequisite for the integration of their reward values, as no effect of reward value was observed when the two modalities were perceived to be misaligned. These results show that in a task that highly relies on the processing of visual spatial information, the reward values from multiple sensory modalities are integrated with each other, each with their respective weights. This weighting depends on the congruency in reward values, exposure history, and spatial co-localization.

neuroscience

Protein-protein binding pathways and calculations of rate constants using fully continuous explicit solvent simulations

A grand challenge in the field of biophysics has been the complete characterization of protein-protein binding processes at atomic resolution. This characterization requires the direct simulation of binding pathways starting from the initial unbound state and proceeding through states that are too transient to be captured by experiment. Here we applied the weighted ensemble path sampling strategy to enable atomistic simulation of protein-protein binding pathways. Our simulation generated 203 fully continuous binding pathways for the bacterial proteins, barnase and barstar, yielding a computed kon that is within error of experiment. Results reveal that the formation of the \"encounter complex\" intermediate is rate limiting with ~11% of all diffusional collisions being productive. Consistent with experiment, our simulations identify R59 as the most kinetically important barnase residue for the binding process. Furthermore, protein desolvation occurs late in the binding process during the rearrangement of the encounter complex to the native complex. Notably, the positions of interfacial crystallographic water molecules that bridge hydrogen bonds between barnase and barstar are occupied upon formation of the native complex in our simulations. Our simulations were completed within a month using 1600 CPU cores at a time, demonstrating that it is now practical to carry out atomistic simulations of protein-protein binding processes, particularly using the latest GPU-accelerated computing.

biophysics