A Method of Gene-Function Annotation Based on Variable Precision Rough Sets

It is very important in the field of bioinformatics to apply computer to perform the function annotation for new sequenced bio-sequences. Based on GO database and BLAST program, a novel method for the function annotation of new biological sequences is presented by using the variable-precision rough set theory. The proposed method is applied to the real data in GO database to examine its effectiveness. Numerical results show that the proposed method has better precision, recall-rate and harmonic mean value compared with existing methods.

The selection rules of acupoints and meridians of traditional acupuncture for postoperative nausea and vomiting:a data mining-based literature study

Background:Postoperative nausea and vomiting(PONV)refers to a problem commonly occurring after surgery.Acupuncture is considered a critical complementary alternative therapy for PONV.The acupoints selection critically determines the efficacy of acupuncture,whereas the selection rules remain unclear.The objective of the present study was to delve into the principles of acupoints selection for PONV using data mining technology.Methods:The clinical trials assessing the acupuncture effect for PONV were searched with the use of computer in PubMed,China National Knowledge Infrastructure,and Chinese Biomedical Database;the time span was confined as 2009–2019.The database of acupuncture prescriptions for PONV was built using Excel 2016;the description and association were analyzed by IBM SPSS modeler 18.Result:Eighty-three relevant literatures were screened out.The number of specific acupoints took up 72.5%of all acupoints;specific acupoints exhibited the frequency taking up 91.30%of the total frequency.As revealed from the result,Neiguan(PC 6),Zusanli(ST 36),Hegu(LI 4),and Zhongwan(CV 12)were most frequently applied,suggesting the tightest associations.Most acupoints were taken from the stomach meridian and pericardium meridian.The common acupoints were concentrated in the lower limbs,chest,as well as abdomen.Conclusion:Data mining acts as a feasible method to identify acupoints selection and compatibility characteristics.As suggested from our study,the acupoints selection for PONV prioritizes specific acupoints and related meridians.The selection and combination of acupoints comply with the theory of traditional Chinese medicine.

Qiming granule in treating type 2 diabetic kidney disease patients:study protocol for a randomized controlled trial

Background:Diabetic kidney disease(DKD)is a chronic renal microvascular complication associated with abnormal glucose metabolism.According to traditional Chinese medicine(TCM)theory,Qi and Yin deficiency with blood stasis(the name of TCM symptoms,its main clinical features are fatigue,dry mouth,red or pale tongue,weak pulse,etc.)is the primary TCM syndrome of DKD,and Qiming granule(QMG)is suitable for the treatment of Qi and Yin deficiency with blood stasis syndrome.In view of this,we designed a randomized controlled trial to assess whether QMG is efficacious and safe in treating DKD patients.Methods:This protocol is for a randomized,double-blind,placebo-controlled,parallel group,six-centre clinical trial.A total of 180 participants will be randomized into the QMG group or placebo group,with a 1:1 ratio.The study will last for 50 weeks,including a 2-week run-in period,24 weeks of intervention,and 24 weeks of follow-up.The experimental intervention will be QMG,and the control intervention will be a placebo.The primary outcome will be the 24h urinary albumin excretion ratio and the change in the albumin-to-creatinine ratio.The secondary outcome will be evaluation of renal function,fundus changes,management of blood lipids,TCM symptom improvement and safety assessments.Adverse events will be recorded during the trial.Discussion:This study is a randomized controlled trial to test the effectiveness and safety of QMG for DKD patients.The findings of this study will help to provide evidence-based recommendations in treating DKD patients.Trial registration:Chinese Clinical Trial Registry,ChiCTR-TRC-12002953.Registered 23 December 2012.