Evidence map›Paper›PMID 42657036›Full record

ArticleACM-BCB ... ... : the ... ACM Conference on Bioinformatics, Computational Biology and Biomedicine. ACM Conference on Bioinformatics, Computational Biology and Biomedicine2025

Multi-Objective Loss Function For Free Energy Calculations.

Libina Bovan Thomas, Ali Risheh, Negin Forouzesh

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in ACM-BCB ... ... : the ... ACM Conference on Bioinformatics, Computational Biology and Biomedicine. ACM Conference on Bioinformatics, Computational Biology and Biomedicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Libina Bovan ThomasCalifornia State University, Los Angeles, Los Angeles, California, USA.ORCID 0009-0006-8525-4123
Ali RishehUniversity of California, Irvine, Irvine, California, USA.ORCID 0009-0007-6548-9205
Negin ForouzeshCalifornia State University, Los Angeles, Los Angeles, California, USA.ORCID 0000-0003-2293-0391

Funding

Improving the Accuracy of Implicit Solvents with a Physics-Guided Neural NetworkR16GM146633 · NIGMS · CALIFORNIA STATE UNIVERSITY LOS ANGELES · PI FOROUZESH, NEGIN · 2022 to 2025
$755k
NIGMS NIH HHS R16 GM146633
6 · The paper itself

Abstract

Accurate estimation of binding free energy

Indexed as

Binding Free EnergyDeep learningDrug discoveryGraph Convolutional Neural Networks

Identifiers

PMID42657036
PMCPMC13510083

What Socratic holds

Textmetadata
Read underepoch 390

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 Socratic graph.