Autocrine-Based Selection of Drugs That Target Ion Channels from Combinatorial Venom Peptide Libraries

Pharmaceutical Optimization of Peptide Toxins for Ion Channel Targets: Potent, Selective, and Long-Lived Antagonists of Kv1.3

(2015) Justin K. Murray et al.   JOURNAL OF MEDICINAL CHEMISTRY

Autocrine selection of a GLP-1R G-protein biased agonist with potent antidiabetic effects

(2015) Hongkai Zhang et al.   Nature Communications

VenomKB, a new knowledge base for facilitating the validation of putative venom therapies

(2015) Joseph D. Romano et al.   Scientific Data

Whole Transcriptome of the Venom Gland from Urodacus yaschenkoi Scorpion

(2015) Karen Luna-Ramírez et al.   PLoS One

A proximity based general method for identification of ligand and receptor interactions in living cells

(2014) Hongkai Zhang et al.   BIOCHEMICAL AND BIOPHYSICAL RESEARCH COMMUNICATIONS

Targeting the Ion Channel Kv1.3 with Scorpion Venom Peptides Engineered for Potency, Selectivity, and Half-life

(2014) Wilson Edwards et al.   JOURNAL OF BIOLOGICAL CHEMISTRY

Toxins and drug discovery

(2014) Alan L. Harvey   TOXICON

Selecting Agonists from Single Cells Infected with Combinatorial Antibody Libraries

(2013) Hongkai Zhang et al.   CHEMISTRY & BIOLOGY

Selection of antibodies that regulate phenotype from intracellular combinatorial antibody libraries

(2012) H. Zhang et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

ArachnoServer 2.0, an updated online resource for spider toxin sequences and structures

(2010) V. Herzig et al.   NUCLEIC ACIDS RESEARCH

Transcriptome analysis of the venom glands of the Chinese wolf spider Lycosa singoriensis

(2009) Yongqun Zhang et al.   ZOOLOGY