Protein Multiple Conformation Prediction Using Multi-Objective Evolution Algorithm.

The breakthrough of AlphaFold2 and the publication of AlphaFold DB represent a significant advance in the field of predicting static protein structures. However, AlphaFold2 models tend to represent a single static structure, and multiple-conformation prediction remains a challenge. In this work, we proposed a method named MultiSFold, which uses a distance-based multi-objective evolutionary algorithm to predict multiple conformations.

Structural analogue-based protein structure domain assembly assisted by deep learning.

Motivation: With the breakthrough of AlphaFold2, the protein structure prediction problem has made remarkable progress through deep learning end-to-end techniques, in which correct folds could be built for nearly all single-domain proteins. However, the full-chain modelling appears to be lower on average accuracy than that for the constituent domains and requires higher demand on computing hardware, indicating the performance of full-chain modelling still needs to be improved. In this study, we investigate whether the predicted accuracy of the full-chain model can be further improved by domain assembly assisted by deep learning.

Construct a variable-length fragment library for de novo protein structure prediction.

Although remarkable achievements, such as AlphaFold2, have been made in end-to-end structure prediction, fragment libraries remain essential for de novo protein structure prediction, which can help explore and understand the protein-folding mechanism. In this work, we developed a variable-length fragment library (VFlib). In VFlib, a master structure database was first constructed from the Protein Data Bank through sequence clustering.

Multi contact-based folding method for de novo protein structure prediction.

Meta contact, which combines different contact maps into one to improve contact prediction accuracy and effectively reduce the noise from a single contact map, is a widely used method. However, protein structure prediction using meta contact cannot fully exploit the information carried by original contact maps. In this work, a multi contact-based folding method under the evolutionary algorithm framework, MultiCFold, is proposed.

[Comparison of acellular dermal allograft and tragus cartilage perichondrium in type Ⅰ tympanoplasty under otoendoscopy].

To compare the therapeutic effect of otoendoscopic tympanoplasty with acellular dermal allograft（AlloDerm） and tragus cartilage perichondrium. 121 patients who underwent type Ⅰ tympanoplasty under otoscope were retrospectively analyzed. According to the grafts used, they were divided into two groups: AlloDerm group （56 cases） and tragus cartilage perichondrium group （65 cases）.

Effects of anticholinergic agent on miRNA profiles and transcriptomes in a murine model of allergic rhinitis.

Anticholinergic agent, ipratropium bromide (IB) ameliorates symptoms of allergic rhinitis (AR) using neuroimmunologic mechanisms. However, the underlying molecular mechanism remains largely unclear. In the present study, 27 mice with AR induced by ovalbumin were randomly allocated to one of three groups: Model group, model group with IB treatment for 2 weeks, and model group with IB treatment for 4 weeks.

Blockage of SSRP1/Ets-1/Pim-3 signalling enhances chemosensitivity of nasopharyngeal carcinoma to docetaxel in vitro.

Nasopharyngeal carcinoma (NPC) is a rare cancer in most parts of the world, but is prevalent in South China area. Besides, therapeutic outcome is still unsatisfactory for patients with refractory and relapsed NPC, even though receiving a second line of docetaxel-based chemotherapy. These reasons require a better understanding of mechanisms underlying the carcinogenesis, malignancy and chemoresistance.