AAV-expressed eCD4-Ig provides durable protection from multiple SHIV challenges
MR Gardner, LM Kattenhorn, HR Kondur… - Nature, 2015 - nature.com
Long-term in vivo expression of a broad and potent entry inhibitor could circumvent the
need for a conventional vaccine for HIV-1. Adeno-associated virus (AAV) vectors can stably …
need for a conventional vaccine for HIV-1. Adeno-associated virus (AAV) vectors can stably …
Wide bandgap devices in AC electric drives: Opportunities and challenges
Wide bandgap (WBG) device-based power electronics converters are more efficient and
lightweight than silicon-based converters. WBG devices are an enabling technology for many …
lightweight than silicon-based converters. WBG devices are an enabling technology for many …
Envelope residue 375 substitutions in simian–human immunodeficiency viruses enhance CD4 binding and replication in rhesus macaques
Most simian–human immunodeficiency viruses (SHIVs) bearing envelope (Env) glycoproteins
from primary HIV-1 strains fail to infect rhesus macaques (RMs). We hypothesized that …
from primary HIV-1 strains fail to infect rhesus macaques (RMs). We hypothesized that …
Associating HIV-1 envelope glycoprotein structures with states on the virus observed by smFRET
…, K Wang, JR Grover, BP Carman, MR Gardner… - Nature, 2019 - nature.com
The HIV-1 envelope glycoprotein (Env) trimer mediates cell entry and is conformationally
dynamic 1 , 2 , 3 , 4 , 5 , 6 , 7 – 8 . Imaging by single-molecule fluorescence resonance energy …
dynamic 1 , 2 , 3 , 4 , 5 , 6 , 7 – 8 . Imaging by single-molecule fluorescence resonance energy …
Allennlp: A deep semantic natural language processing platform
This paper describes AllenNLP, a platform for research on deep learning methods in natural
language understanding. AllenNLP is designed to support researchers who want to build …
language understanding. AllenNLP is designed to support researchers who want to build …
Linguistic knowledge and transferability of contextual representations
Contextual word representations derived from large-scale neural language models are
successful across a diverse set of NLP tasks, suggesting that they encode useful and …
successful across a diverse set of NLP tasks, suggesting that they encode useful and …
DROP: A reading comprehension benchmark requiring discrete reasoning over paragraphs
Reading comprehension has recently seen rapid progress, with systems matching humans
on the most popular datasets for the task. However, a large body of work has highlighted the …
on the most popular datasets for the task. However, a large body of work has highlighted the …
Universal adversarial triggers for attacking and analyzing NLP
Adversarial examples highlight model vulnerabilities and are useful for evaluation and
interpretation. We define universal adversarial triggers: input-agnostic sequences of tokens that …
interpretation. We define universal adversarial triggers: input-agnostic sequences of tokens that …
Documenting large webtext corpora: A case study on the colossal clean crawled corpus
Large language models have led to remarkable progress on many NLP tasks, and researchers
are turning to ever-larger text corpora to train them. Some of the largest corpora available …
are turning to ever-larger text corpora to train them. Some of the largest corpora available …
Simple and effective multi-paragraph reading comprehension
We consider the problem of adapting neural paragraph-level question answering models to
the case where entire documents are given as input. Our proposed solution trains models to …
the case where entire documents are given as input. Our proposed solution trains models to …