Attention : désormais les séminaires ont lieu tous les lundis à 10h45 en salle  523 du LPTMC - Tour 12-13 


Martin Weigt (LCQB Jussieu)

Statistical-physics inspired modeling of protein sequences: Inferring structure, function, and mutational landscapes

Over the last years, biological research has been revolutionized by experimental high-throughput techniques. Unprecedented amounts of data are accumulating, causing an urgent need to develop data-driven modeling approaches to unveil information hidden in raw data, thereby helping to increase our understanding of complex biological systems. Inference approaches based on statistical physics have played an important role across diverse systems ranging from proteins over neural networks to the collective behaviour of animal groups. To give a specific example, proteins show a remarkable degree of structural and functional conservation in the course of evolution, despite a large variability in amino-acid sequences. Thanks to modern sequencing techniques, this amino-acid variability is easily observable, contrary to time- and labour-intensive experiments determining, e.g., the three-dimensional fold of a protein or its biological functionality. I will present recent developments around the so-called Direct-Coupling Analysis, a statistical-mechanics inspired inference approach, which links sequence variability to protein structure and function. I will show that this methodology can be used to (i) to infer contacts between residues and thus to guide 3D-structure prediction of proteins and their complexes, (ii) to infer conserved protein-protein interaction networks, and (iii) to reconstruct mutational landscapes and thus to predict the effect of mutations. Beyond a direct biological and medical interest of such findings, they provide us also insight into underlying principles connecting protein evolution, structure and function.

Giulio Biroli (IPhT CEA Saclay et LPS-ENS)
Emergent phenomena in large interacting ecosystems

I will first start with a general introduction on theoretical ecology, stressing the 
reasons that make connections with statistical physics interesting and timely.  
I will then focus on Lotka-Volterra equations, which provide a general model to study large assemblies of strongly 
interacting degrees of freedom in many different fields: biology, economy and in particular ecology.  
I will present our analysis of Lotka-Volterra equations as model of ecosystems formed by a 
large number of species and show the different phases that emerge. Two of them are particularly 
interesting: when interactions are symmetric we find a regime characterised by an exponential 
number of multiple equilibria, all poised at the edge of stability for a large number of species.
For non symmetric interactions, this phase is replaced by a chaotic one.  
I will then conclude discussing relationships with experiments and general consequences of our works.  

Tin Sulejmanpasic (LPT-ENS)

Fractionalization between the vacua: from QCD to quantum magnetism

Quantum Chromodynamics (QCD) -- the theory of strong nuclear forces -- has baffled the physics community and remains one of the poorly understood parts of the standard model. Its quintessential property: the confinement of quarks into protons, neutrons and mesons, while verified both experimentally and numerically, remains an elusive theoretical problem. The various cousins of QCD are however possible to understand to varying degrees and precision. In some of these theories the vacuum state is degenerate, and hence allows for domain walls -- a surface excitation which interpolates between two vacua of the theory. These domain walls have a remarkable property that quarks become liberated on them, and the domain wall excitation spectrum is very different from that of the bulk. Such QCD cousins are, unfortunately, not the physical theory, and they do not occur in nature. QCD however has another unlikely cousin: the Valence Bond Solid (VBS) state of the quantum anti-ferromagnet, where spin 1/2 excitations (or spinons) are bound into spin 1 excitations by a mechanism very similar to confinement of quarks. Perhaps surprisingly the low energy theory describing the behavior of the VBS phase is virtually identical to its QCD cousins under certain conditions. Further the VBS phase may have multiple vacua, and thus support domain walls, which in turn support liberated spinon excitations absent in the bulk. This has been verified numerically in the so-called J-Q model. These domain wall modes can in fact be seen as edge modes akin to those of the symmetry protected topological state. A multidisciplinary effort is slowly emerging to understand such phenomena, from the theoretical aspects of fundamental and condensed matter physics, to the numerical efforts in trying to understand QCD and quantum magnets.


Xia-qing Shi (Soochow university & SPEC, CEA Saclay)

Recent results on dense bacterial suspensions

This talk will show that bacterial suspensions, beyond their intrinsic, dominating importance in biology, are also excellent systems to explore and test theoretical results on active matter, I will present recent experimental results on dense bacterial suspensions obtained in the groups of Masaki Sano (University of Tokyo), Yilin Wu (Chinese University of Hong Kong), and Hepeng Zhang (Shanghai Jiaotong University). I will put them in context, situating them within our current knowledge of active matter, stressing differences and similarities. Particular attention will be paid to the modeling efforts already deployed or to be developed in order to understand the fascinating large-scale phenomena observed by these 3 groups.

Raphaël Chétrite (Laboratoire J. Dieudonné, Nice)

On Gibbs-Shannon Entropy

This talk will focus on the question of the physical contents of the Gibbs-Shannon entropy outside equilibrium.
Article : Gavrilov-Chetrite-Bechhoeffer :   Direct measurement of weakly nonequilibrium system entropy is consistent with Gibbs-Shannon form. PNAS 2017.