scholarly journals Predicting a Kind of Unusual Multiple-States Dimerization-Modes Transformation in Protein PD-L1 System by Computational Investigation and a Generalized Rate Theory

2021 ◽  
Vol 9 ◽  
Author(s):  
Zhong-Xing Zhou ◽  
Hong-Xing Zhang ◽  
Qing-Chuan Zheng

The new cancer immunotherapy has been carried out with an almost messianic zeal, but its molecular basis remains unclear due to the complexity of programmed death ligand 1 (PD-L1) dimerization. In this study, a new and integral multiple dimerization-modes transformation process of PD-L1s (with a new PD-L1 dimerization mode and a new transformation path discovered) and the corresponding mechanism are predicted using theoretical and computational methods. The results of the state analysis show that 5 stable binding states exist in system. A generalized inter-state transformation rate (GITR) theory is also proposed in such multiple-states self-assembly system to explore the kinetic characteristics of inter-state transformation. A “drug insertion” path was identified as the dominant path of the PD-L1 dimerization-modes transformation. Above results can provide supports for both the relative drug design and other multiple-states self-assembly system from the theoretical chemistry perspective.

Author(s):  
Alejandro Rodríguez ◽  
Alexander Grushin ◽  
James A. Reggia

Drawing inspiration from social interactions in nature, swarm intelligence has presented a promising approach to the design of complex systems consisting of numerous, simple parts, to solve a wide variety of problems. Swarm intelligence systems involve highly parallel computations across space, based heavily on the emergence of global behavior through local interactions of components. This has a disadvantage as the desired behavior of a system becomes hard to predict or design. Here we describe how to provide greater control over swarm intelligence systems, and potentially more useful goal-oriented behavior, by introducing hierarchical controllers in the components. This allows each particle-like controller to extend its reactive behavior in a more goal-oriented style, while keeping the locality of the interactions. We present three systems designed using this approach: a competitive foraging system, a system for the collective transport and distribution of goods, and a self-assembly system capable of creating complex 3D structures. Our results show that it is possible to guide the self-organization process at different levels of the designated task, suggesting that self-organizing behavior may be extensible to support problem solving in various contexts.


2012 ◽  
Vol 271-272 ◽  
pp. 801-805
Author(s):  
Jia Jia Xu ◽  
Yuan Li ◽  
Jian Feng Yu ◽  
Jie Zhang

This paper aims to investigate the cell layout problem of aircraft assembly system. A mathematical model for this problem is proposed, taking into account the integration design of cell layout and logistics network. The means of logistics transportation are divided into horizontal transportation and space transportation, meanwhile, the logistics transportation route is calculated. Based on sequence pair, the presentation of solution structure for cell layout is put forward, and the solution structure is solved using simulated annealing algorithm. This method is applied successfully to the assembly cell layout of the fuselage-wing assembly system for a giant aircraft, and the result shows its feasibility and effectiveness.


2016 ◽  
Vol 138 (44) ◽  
pp. 14740-14749 ◽  
Author(s):  
Mattia Riccardo Monaco ◽  
Daniele Fazzi ◽  
Nobuya Tsuji ◽  
Markus Leutzsch ◽  
Saihu Liao ◽  
...  

2006 ◽  
Vol 97 (16) ◽  
Author(s):  
Miao Yu ◽  
N. Bovet ◽  
Christopher J. Satterley ◽  
S. Bengió ◽  
Kevin R. J. Lovelock ◽  
...  

Materials ◽  
2019 ◽  
Vol 12 (1) ◽  
pp. 166 ◽  
Author(s):  
Chunhe Chu ◽  
Yuman Qin ◽  
Xuemei Li ◽  
Zhinan Yang ◽  
Fucheng Zhang ◽  
...  

The two-step austempering process has been reported to be an effective method to accelerate the bainitic transformation process by introducing martensite (Q-M-B). However, in this study, it was found that the Q-M-B process reduced the incubation time, but the transformation duration remained nearly unchanged. The notably reduced activation energy barrier for nucleation of bainitic ferrite on the preformed martensite should be responsible for the reduced duration time of the Q-M-B process. A process that both of the two steps were above, Ms (Q-B-B), has been demonstrated to increase transformation rate and improve the amount of bainitic ferrite, which probably results from the additional hysteresis free energy provided by the first quenching process.


2019 ◽  
Vol 10 (1) ◽  
Author(s):  
Zan Hua ◽  
Joseph R. Jones ◽  
Marjolaine Thomas ◽  
Maria C. Arno ◽  
Anton Souslov ◽  
...  

AbstractUnderstanding and controlling self-assembly processes at multiple length scales is vital if we are to design and create advanced materials. In particular, our ability to organise matter on the nanoscale has advanced considerably, but still lags far behind our skill in manipulating individual molecules. New tools allowing controlled nanoscale assembly are sorely needed, as well as the physical understanding of how they work. Here, we report such a method for the production of highly anisotropic nanoparticles with controlled dimensions based on a morphological transformation process (MORPH, for short) driven by the formation of supramolecular bonds. We present a minimal physical model for MORPH that suggests a general mechanism which is potentially applicable to a large number of polymer/nanoparticle systems. We envision MORPH becoming a valuable tool for controlling nanoscale self-assembly, and for the production of functional nanostructures for diverse applications.


2020 ◽  
Vol 12 (6) ◽  
pp. 813-821 ◽  
Author(s):  
Junbo Liu ◽  
Wensi Zhao ◽  
Guangyu Wang ◽  
Shanshan Tang ◽  
Ruifa Jin

Theoretical study of a phenobarbital molecularly imprinted polymerization self-assembly system and its adsorption properties.


2019 ◽  
Vol 1 (6) ◽  
pp. 1485-1495
Author(s):  
Xinhua Cao ◽  
Yiran Li ◽  
Aiping Gao ◽  
Yongsheng Yu ◽  
Xueping Chang ◽  
...  

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