Evidence map›Paper›PMID 31995373›Full record

ArticleJournal of chemical information and modeling2020

AlphaSpace 2.0: Representing Concave Biomolecular Surfaces Using β-Clusters.

Joseph Katigbak, Haotian Li, David Rooklin, Yingkai Zhang

Abstract read
In one paragraph

Article in Journal of chemical information and modeling, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
  2. Diffusion Models in De Novo Drug Design.Journal of chemical information and modeling · 2024
    Review
  3. Integrated Molecular Modeling and Machine Learning for Drug Design.Journal of chemical theory and computation · 2023
    Review
  4. Article
  5. Protein-Ligand Docking in the Machine-Learning Era.Molecules (Basel, Switzerland) · 2022
    Review
  6. Review
  7. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Joseph KatigbakDepartment of Chemistry, New York University, New York, New York 10003, United States.
Haotian LiDepartment of Chemistry, New York University, New York, New York 10003, United States.
David RooklinDepartment of Chemistry, New York University, New York, New York 10003, United States.
Yingkai ZhangDepartment of Chemistry, New York University, New York, New York 10003, United States.ORCID 0000-0002-4984-3354

Funding

Computational modulator design and machine learning to target protein-protein interactionsR35GM127040 · NIGMS · NEW YORK UNIVERSITY · PI Yingkai Zhang · 2018 to 2026
$4.6M
Computational Studies of Histone ModificationsR01GM079223 · NIGMS · NEW YORK UNIVERSITY · PI ZHANG, YINGKAI · 2007 to 2016
$2.4M
Computational inhibitor design to target protein-protein interactionsR01GM120736 · NIGMS · NEW YORK UNIVERSITY · PI ARORA, PARAMJIT S, ZHANG, YINGKAI · 2016 to 2019
$1.6M
NIGMS NIH HHS R01 GM079223NIGMS NIH HHS R01 GM120736NIGMS NIH HHS R35 GM127040
6 · The paper itself

Abstract

Modern rational modulator design and structure-function characterization often concentrate on concave regions of biomolecular surfaces, ranging from well-defined small-molecule binding sites to large protein-protein interaction interfaces. Here, we introduce a β-cluster as a pseudomolecular representation of fragment-centric pockets detected by AlphaSpace [

Indexed as

AlgorithmsProteinsBinding SitesLigandsModels, MolecularProtein BindingLigandsProteins

Identifiers

PMID31995373
PMCPMC7093224

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.