Estimation of model accuracy plays a crucial role in protein structure prediction, aiming to evaluate the quality of predicted protein structure models accurately and objectively. This process is not only key to screening candidate models that are close to the real structure, but also provides guidance for further optimization of protein structures. With the significant advancements made by AlphaFold2 in monomer structure, the problem of single-domain protein structure prediction has been widely solved. Correspondingly, the importance of assessing the quality of single-domain protein models decreased, and the research focus has shifted to estimation of model accuracy of protein complexes. In this review, our goal is to provide a comprehensive overview of the reference and statistical metrics, as well as representative methods, and the current challenges within four distinct facets (Topology Global Score, Interface Total Score, Interface Residue-Wise Score, and Tertiary Residue-Wise Score) in the field of complex EMA.

Consensus methods are crucial in developing clinical guidelines. Different methods, such as the Delphi and nominal group techniques, are commonly used, but there is a lack of detailed instructions on how to implement them effectively. The survey aims to explore the opinions and attitudes of the chair, panel and working group on the critical elements of the consensus methods during guideline development.
We used a cross-sectional design to conduct this study and sent a structured questionnaire to stakeholders, including the chair, panel members, and working group participants, through the popular mobile phone application WeChat.We selected participants using a combination of purposive and snowball sampling. The questionnaire gathered information on demographics, experiences, opinions, and concerns regarding consensus methods and guideline development.
The sample comprised 290 participants representing 31 provinces or municipalities. Among them, the most significant number of respondents (n = 107, 36.9%) were from Beijing. Most participants, specifically 211 (72.76%), held senior professional titles, while 186 (64.14%) adhered to ongoing guidelines. The Delphi method was the most commonly used consensus method (n = 132, 42.31%), but the respondents had only a preliminary understanding of it (n = 147, 47.12%). The consensus process also revealed the insufficiency of involving pharmacoeconomists, patients, and nurses.
Consensus methods have to be standardised and used consistently in the guideline development process. The findings of this study offer insights into diverse roles and more effective ways to apply the consensus process during guideline development.

Pullulanase (EC 3.2.1.41) is a well-known starch-debranching enzyme. Enhancing the thermostability of Pullulanase is required for industrial application. In this study, we used two methods to improve the thermostability of the pullulanase from Anoxybacillus sp. LM18-11; these methods were the modified amino acid consensus method combined with the analyses of the residue water-exposed surface (ACC) and the deletion of flexible domains. Four mutants (Y477A, Y175C, L215C and R473E) were obtained via the modified consensus method exhibited varying degrees of improvements in terms of thermostability. One deletion mutant termed D3 (residues(686-688)) was obtained and exhibited enhanced thermostability due to deletion of the flexible region at the C-terminus. The combination of the two strategies yielded the mutant M18 (Y477A/D3/Y175C/L215P/R473E). It retained 66% of its initial activity after incubation at 60 °C for 72 hrs, whereas that of the wild-type enzyme was only 35%. After incubation at 65 °C for 4 h, M18 retained 50.6% of its initial activity, whereas that of the wild-type was only 16.8%, respectively. Additionally, kinetic studies revealed that the Km of M17 (Y477A/D3/Y175C/L215P) was decreased by 33.9% and that the Kcat/Km value of M17 increased by 50%, while M18 exhibited Km and Kcat/Km values that were similar to those of the wild-type enzyme. The attractive improved thermostability and the high catalytic efficiency made M17 and M18 more suitable for industrial application.