Zobrazeno 1 - 10
of 353
pro vyhledávání: '"Tlusty, Tsvi"'
Autor:
McBride, John M, Kim, Nahie, Nishikawa, Yuri, Saadakeev, Mekhmed, Pearce, Marcus T, Tlusty, Tsvi
The number of possible melodies is unfathomably large, yet despite this virtually unlimited potential for melodic variation, melodies from different societies can be surprisingly similar. The motor constraint hypothesis accounts for certain similarit
Externí odkaz:
http://arxiv.org/abs/2408.12635
The standard theory of musical scales since antiquity has been based on harmony, rather than melody. Some recent analyses support either view, and we lack a comparative test on cross-cultural data. We address this longstanding problem through a rigor
Externí odkaz:
http://arxiv.org/abs/2408.12633
Autor:
Libchaber, Albert, Tlusty, Tsvi
Publikováno v:
Comptes Rendus. Mécanique, Vol 348, Iss 6-7, Pp 545-554 (2020)
Whirling and swerving, a bacterium is swimming in a test tube, foraging for food. On the surface of a vibrating bath, a droplet starts walking. A certain similarity, but mostly dissimilarity, between the physical memory that emerges in Couder’s dro
Externí odkaz:
https://doaj.org/article/27c3e33f7e7f4aecadf5f8ba85d395be
Despite recent breakthroughs in understanding how protein sequence relates to structure and function, considerably less attention has been paid to the general features of protein surfaces beyond those regions involved in binding and catalysis. This p
Externí odkaz:
http://arxiv.org/abs/2407.14063
A cylinder will roll down an inclined plane in a straight line. A cone will roll around a circle on that plane and then will stop rolling. We ask the inverse question: For which curves drawn on the inclined plane $\mathbb{R}^2$ can one carve a shape
Externí odkaz:
http://arxiv.org/abs/2406.16336
Autor:
Mcbride, John M, Tlusty, Tsvi
AI algorithms have proven to be excellent predictors of protein structure, but whether and how much these algorithms can capture the underlying physics remains an open question. Here, we aim to test this question using the Alphafold2 (AF) algorithm:
Externí odkaz:
http://arxiv.org/abs/2311.18222
Autor:
McBride, John M., Tlusty, Tsvi
Proteins are intricate molecular machines whose complexity arises from the heterogeneity of the amino acid building blocks and their dynamic network of many-body interactions. These nanomachines gain function when put in the context of a whole organi
Externí odkaz:
http://arxiv.org/abs/2311.09565
We introduce an RG-inspired coarse-graining for extracting the collective features of data. The key to successful coarse-graining lies in finding appropriate pairs of data sets. We coarse-grain the two closest data in a regular real-space RG in a lat
Externí odkaz:
http://arxiv.org/abs/2307.08936
Autor:
Tripathi, Ashwani Kr., Tlusty, Tsvi
Nanoswimmers are ubiquitous in bio- and nano-technology but are extremely challenging to measure due to their minute size and driving forces. A simple method is proposed for detecting the elusive physical features of nanoswimmers by observing how the
Externí odkaz:
http://arxiv.org/abs/2210.07557
Autor:
McBride, John M., Polev, Konstantin, Abdirasulov, Amirbek, Reinharz, Vladimir, Grzybowski, Bartosz A., Tlusty, Tsvi
AlphaFold2 (AF) is a promising tool, but is it accurate enough to predict single mutation effects? Here, we report that the localized structural deformation between protein pairs differing by only 1-3 mutations -- as measured by the effective strain
Externí odkaz:
http://arxiv.org/abs/2204.06860