scholarly journals Computer-Based Redesign of a β Sandwich Protein Suggests that Extensive Negative Design Is Not Required for De Novo β Sheet Design

Structure ◽  
2008 ◽  
Vol 16 (12) ◽  
pp. 1799-1805 ◽  
Author(s):  
Xiaozhen Hu ◽  
Huanchen Wang ◽  
Hengming Ke ◽  
Brian Kuhlman
Keyword(s):  
De Novo ◽  
2020 ◽  
Vol 20 (19) ◽  
pp. 1651-1660
Author(s):  
Anuraj Nayarisseri

Drug discovery is one of the most complicated processes and establishment of a single drug may require multidisciplinary attempts to design efficient and commercially viable drugs. The main purpose of drug design is to identify a chemical compound or inhibitor that can bind to an active site of a specific cavity on a target protein. The traditional drug design methods involved various experimental based approaches including random screening of chemicals found in nature or can be synthesized directly in chemical laboratories. Except for the long cycle design and time, high cost is also the major issue of concern. Modernized computer-based algorithm including structure-based drug design has accelerated the drug design and discovery process adequately. Surprisingly from the past decade remarkable progress has been made concerned with all area of drug design and discovery. CADD (Computer Aided Drug Designing) based tools shorten the conventional cycle size and also generate chemically more stable and worthy compounds and hence reduce the drug discovery cost. This special edition of editorial comprises the combination of seven research and review articles set emphasis especially on the computational approaches along with the experimental approaches using a chemical synthesizing for the binding affinity in chemical biology and discovery as a salient used in de-novo drug designing. This set of articles exfoliates the role that systems biology and the evaluation of ligand affinity in drug design and discovery for the future.


2022 ◽  
Vol 23 (2) ◽  
pp. 701
Author(s):  
Yuki Ito ◽  
Takuya Araki ◽  
Shota Shiga ◽  
Hiroyuki Konno ◽  
Koki Makabe

Top7 is a de novo designed protein whose amino acid sequence has no evolutional trace. Such a property makes Top7 a suitable scaffold for studying the pure nature of protein and protein engineering applications. To use Top7 as an engineering scaffold, we initially attempted structure determination and found that crystals of our construct, which lacked the terminal hexahistidine tag, showed weak diffraction in X-ray structure determination. Thus, we decided to introduce surface residue mutations to facilitate crystal structure determination. The resulting surface mutants, Top7sm1 and Top7sm2, crystallized easily and diffracted to the resolution around 1.7 Å. Despite the improved data, we could not finalize the structures due to high R values. Although we could not identify the origin of the high R values of the surface mutants, we found that all the structures shared common packing architecture with consecutive intermolecular β-sheet formation aligned in one direction. Thus, we mutated the intermolecular interface to disrupt the intermolecular β-sheet formation, expecting to form a new crystal packing. The resulting mutant, Top7sm2-I68R, formed new crystal packing interactions as intended and diffracted to the resolution of 1.4 Å. The surface mutations contributed to crystal packing and high resolution. We finalized the structure model with the R/Rfree values of 0.20/0.24. Top7sm2-I68R can be a useful model protein due to its convenient structure determination.


2018 ◽  
Vol 8 (8) ◽  
pp. 145 ◽  
Author(s):  
Jennifer Gardner ◽  
Thomas Cushion ◽  
Georgios Niotakis ◽  
Heather Olson ◽  
P. Grant ◽  
...  

The TUBA1A gene encodes tubulin alpha-1A, a protein that is highly expressed in the fetal brain. Alpha- and beta-tubulin subunits form dimers, which then co-assemble into microtubule polymers: dynamic, scaffold-like structures that perform key functions during neurogenesis, neuronal migration, and cortical organisation. Mutations in TUBA1A have been reported to cause a range of brain malformations. We describe four unrelated patients with the same de novo missense mutation in TUBA1A, c.5G>A, p.(Arg2His), as found by next generation sequencing. Detailed comparison revealed similar brain phenotypes with mild variability. Shared features included developmental delay, microcephaly, hypoplasia of the cerebellar vermis, dysplasia or thinning of the corpus callosum, small pons, and dysmorphic basal ganglia. Two of the patients had bilateral perisylvian polymicrogyria. We examined the effects of the p.(Arg2His) mutation by computer-based protein structure modelling and heterologous expression in HEK-293 cells. The results suggest the mutation subtly impairs microtubule function, potentially by affecting inter-dimer interaction. Based on its sequence context, c.5G>A is likely to be a common recurrent mutation. We propose that the subtle functional effects of p.(Arg2His) may allow for other factors (such as genetic background or environmental conditions) to influence phenotypic outcome, thus explaining the mild variability in clinical manifestations.


2015 ◽  
Vol 112 (32) ◽  
pp. 9816-9821 ◽  
Author(s):  
Katelyn Nagy-Smith ◽  
Eric Moore ◽  
Joel Schneider ◽  
Robert Tycko

Most, if not all, peptide- and protein-based hydrogels formed by self-assembly can be characterized as kinetically trapped 3D networks of fibrils. The propensity of disease-associated amyloid-forming peptides and proteins to assemble into polymorphic fibrils suggests that cross-β fibrils comprising hydrogels may also be polymorphic. We use solid-state NMR to determine the molecular and supramolecular structure of MAX1, a de novo designed gel-forming peptide, in its fibrillar state. We find that MAX1 adopts a β-hairpin conformation and self-assembles with high fidelity into a double-layered cross-β structure. Hairpins assemble with an in-register Syn orientation within each β-sheet layer and with an Anti orientation between layers. Surprisingly, although the MAX1 fibril network is kinetically trapped, solid-state NMR data show that fibrils within this network are monomorphic and most likely represent the thermodynamic ground state. Intermolecular interactions not available in alternative structural arrangements apparently dictate this monomorphic behavior.


2018 ◽  
Vol 25 (11) ◽  
pp. 1028-1034 ◽  
Author(s):  
Enrique Marcos ◽  
Tamuka M. Chidyausiku ◽  
Andrew C. McShan ◽  
Thomas Evangelidis ◽  
Santrupti Nerli ◽  
...  

2020 ◽  
Vol 11 ◽  
Author(s):  
Shiqi He ◽  
Zhanyi Yang ◽  
Weikang Yu ◽  
Jiawei Li ◽  
Zhongyu Li ◽  
...  

Amphipathicity has traditionally been considered to be essential for the de novo design or systematic optimization of antimicrobial peptides (AMPs). However, the current research methods to study the relationship between amphiphilicity and antimicrobial activity are inappropriate, because the key parameters (hydrophobicity, positive charge, etc.) and secondary structure of AMPs are changed. To systematically and accurately study the effects of amphiphilicity on antimicrobial properties of AMPs, we designed parallel series of AMPs with a different order of amino acids in a sequence composed only of Arg and either Trp (WR series) or Leu (LR series), under conditions in which other vital parameters were fixed. Furthermore, based on the WR and LR peptides that can form stable amphiphilic β-sheet structures in the anionic membrane-mimetic environment, we found that high β-sheet amphipathic was accompanied by strong antimicrobial activity. Of such peptides, W5 ([RW]4W) and L5 ([RL]4L) with a nicely amphipathic β-sheet structure possessed the optimal therapeutic index. W5 and L5 also exhibited high stability in vitro and a potent membrane-disruptive mechanism. These results suggest that the alternate arrangement of hydrophobic and hydrophilic residues to form a stable amphipathic β-sheet structure is an essential factor that significantly affects the antimicrobial properties.


2021 ◽  
Vol 7 (36) ◽  
Author(s):  
Xingqing Xiao ◽  
Yiming Wang ◽  
Dillon T. Seroski ◽  
Kong M. Wong ◽  
Renjie Liu ◽  
...  
Keyword(s):  
De Novo ◽  

Author(s):  
Bikash R. Sahoo ◽  
Christopher L. Souders ◽  
Magdalena Ivanova ◽  
Zhou Deng ◽  
Takahiro W. Nakayama ◽  
...  

AbstractHuman amylin is linked to type-2 diabetes and forms structurally heterogeneous amyloids that are pathologically relevant. Therefore, understanding the fundamental forces governing the formation of heterogeneous aggregates is important. Here, using derivatives (SMAQA+/SMAEA−) of styrene-maleic-acid (SMA) copolymer (∼2.2kDa), we demonstrate the quick formation (∼ in minutes) of amylin globulomers and fibers. High-speed AFM tracked the quick formation of de novo globular amylin oligomers and arrestment of fibrillation by SMAQA, whereas SMAEA accelerates amylin fibrillation. This observation is further supported by DOSY and STD NMR experiments. CD results show that SMAQA or SMAEA binding generates α-helix or β-sheet rich amylin structures, respectively. Atomistic insights are revealed by 2D NMR and microseconds all-atom MD simulation. Together, this study highlights the importance of charge-charge interaction in tuning the fibrillation pathways of amylin that could be of therapeutic interest.Graphical abstract


2001 ◽  
pp. 2660-2661 ◽  
Author(s):  
Janani Venkatraman ◽  
G. A. Naganagowda ◽  
R. Sudha ◽  
Padmanabhan Balaram

Sign in / Sign up

Export Citation Format

Share Document