VLDB 2026 Research / reviewers in the wild / expert
James B. Brown
dblp:228/9155
· DBLP profile ↗
2ranked-venue papers
0as first author
1since 2021 · last 2022
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 since 2021Applied, interdisciplinary, general and emerging computing · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Artificial intelligence
1 paper |
Reinforcement learning · 77% Graph learning · 23% | |
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Bioinformatics and computational biology · 100% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Machine learning › Reinforcement learning › exploration › intrinsic motivation
curiosity-driven exploration |
0.6 | 1 | 2022 | Spatial Graph Attention and Curiosity-driven Policy for Antiviral Drug Discovery · ICLR 2022 |
Bioinformatics and computational biology › drug discovery
antiviral drug discovery |
0.6 | 1 | 2022 | Spatial Graph Attention and Curiosity-driven Policy for Antiviral Drug Discovery · ICLR 2022 |
Methods — techniques the papers use, named apart from their topics
reinforcement learning · 1.1graph attention network · 1.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | Spatial Graph Attention and Curiosity-driven Policy for Antiviral Drug Discovery
Nicholas Choma, Andrew Deru Chen, Mikaela Cashman, Érica T. Prates, Verónica G. Vergara Larrea, Manesh Shah, Austin Clyde, Thomas S. Brettin, Bert de Jong, Martha S. Head, Rick L. Stevens, Peter Nugent, Daniel A. Jacobson, James B. Brown |
ICLR | 16 |
| 2019 | Ribosomal in-frame mis-translation of stop codons in multiple open reading frames of specific human long non-coding RNAsabstractOne of the major discoveries of the early post-genomic era, as embodied by the gene catalogs of the FANTOM and ENCODE (Encyclopedia of DNA Elements) consortia, is that two-thirds of human genes do not encode known proteins. Those ~40,000 non-protein-coding (non-coding RNA) human genes (www.gencodegenes.org) remain poorly understood. Long non-coding RNA (lncRNA) genes are the most numerous category of human ncRNA genes. Hundreds of lncRNAs have recently-discovered functions and are now understood to be fundamental nuclear and cytoplasmic, epigenetic and post-transcriptional, positive and negative regulators of gene expression in normal cellular functions and in a wide range of human diseases. However, the functions, if any, of the vast majority of lncRNAs remain obscure. Significantly, an unconventional role for their transcripts as unexpected de-facto messenger RNAs has not been formally excluded. Ribosome profiling (Riboseq) predicts translational potential; nonetheless, without independent evidence of proteins matching lncRNA open reading frames (ORFs), ribosome binding does not prove translation. We were the first to mass-spectrometrically document translation of specific lncRNAs in human cells (https://genome.cshlp.org/content/22/9/1646.long). We have now performed a global search for lncRNA translation in human MCF7 breast cancer cells, integrating strand-specific RNAseq, Riboseq, and deep mass spectrometry of trypsin-digested <15kDa fractions post-UHPLC (Orbitrap MS/MS) in biological quadruplicates by two independent core facilities. We excluded known-protein matches. UCSC Genome Browser-assisted manual annotation of imperfect (tryptic-digest-peptides)-to-(lncRNA-three-frame- translations) alignments initially revealed three peptides hypothetically explicable by “stop-to-nonstop” in- frame replacement of stop codons by amino acids in two ORFs of the lncRNA MMP24-AS1. To search for this phenomenon genomewide, we designed and implemented an unprecedented computational pipeline, matching tryptic-digest spectra to wildcard-instead-of-stop versions of repeat-masked, six-frame, whole-genome translations. Along with singleton stop-to-nonstop events affecting four other lncRNAs, we identified 24 additional peptides with stop-to-nonstop inframe substitutions from multiple MMP24-AS1 lncRNA ORFs. Only UAG and UGA, but not UAA, stop codons were affected. All MMP24-AS1-matching spectra met the same significance thresholds as high-confidence known-protein signatures. Targeted resequencing of MMP24-AS1 genomic DNA and cDNA from the same samples did not reveal any mutations, polymorphisms, or sequencing-detectable RNA editing. We have therefore discovered an apparent gene-specific violation of the genetic code. It highlights the importance of matching peptides to whole-genome, not known-genes-only, ORFs in mass-spectrometry workflows, and suggests a new mechanism enhancing the combinatorial complexity of the proteome. Leonard Lipovich, Pattaraporn Thepsuwan, Anton S. Goustin, Erica L. Kleinbrink, Juan Cai, Donghong Ju, James B. Brown |
BIBM | 7 |