Hongwei Huang

Learn More
An automated E-Novo protocol designed as a structure-based lead optimization tool was prepared through Pipeline Pilot with existing CHARMm components in Discovery Studio. A scaffold core having 3D binding coordinates of interest is generated from a ligand-bound protein structural model. Ligands of interest are generated from the scaffold using an R-group(More)
For oligonucleotide-based therapeutics, a thorough understanding of the thermodynamic properties of duplex formation is critical to developing stable and potent drugs. For unmodified small interfering RNA (siRNA), DNA antisense oligonucleotide (AON) and locked nucleic acid (LNA), DNA/LNA modified oligonucleotides, nearest neighbor (NN) methods can be(More)
In an exciting new application, wireless sensor networks (WSNs) are increasingly being deployed to monitor the structure health of underground subway tunnels, promising many advantages over traditional monitoring methods. As a result, ensuring efficient data communication, transmission, and storage have become a huge challenge for these systems as they try(More)
AY333178 (from Periplaneta americana, 628 AAs) was selected as a target octopamine receptor (OAR) class OAR2 for this study using Discovery Studio (DS Modeling1.1/1.2, Accelrys Inc.). Blast similarity search was performed and identified that AY333178 contains N-terminal domain of GPCR. Based upon Blast and Pfam results, Rhodopsin 1U19 (protein data bank)(More)
The present study was to investigate the expression and prognostic value of constitutive photomorphogenic 1 (COP1) in bladder cancer. In our study, real-time quantitative PCR (RT-PCR) was performed to detect 10 pairs of fresh bladder cancer (BCa) and adjacent noncancerous tissues. In addition, immunohistochemistry was utilized to detect the expression of(More)
We describe the methodology and results from our participation in the second Antibody Modeling Assessment experiment. During the experiment we predicted the structure of eleven unpublished antibody Fv fragments. Our prediction methods centered on template-based modeling; potential templates were selected from an antibody database based on their sequence(More)