Evidence map›Paper›PMID 27493695›Full record

ArticleJournal of chemical biology2016

Homology modeling and virtual screening studies of FGF-7 protein-a structure-based approach to design new molecules against tumor angiogenesis.

Rajender Vadija, Kiran Kumar Mustyala, Navaneetha Nambigari, Ramasree Dulapalli, Rama Krishna Dumpati, Vishwanath Ramatenki, Santhi Prada Vellanki, Uma Vuruputuri

Open access · bronzeAbstract read
In one paragraph

Article in Journal of chemical biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.2field-weighted citation impact, top 20% of its field
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

5 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. 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

8 authors at 1 institution in 1 country.

Rajender VadijaDepartment of Chemistry, University College of Science, Osmania University, Tarnaka, Hyderabad, Telangana State 500007 India.
Kiran Kumar MustyalaDepartment of Chemistry, University College of Science, Osmania University, Tarnaka, Hyderabad, Telangana State 500007 India.
Navaneetha NambigariDepartment of Chemistry, University College of Science Saifabad, Osmania University, Saifabad, Hyderabad, Telangana State 500004 India.
Ramasree DulapalliDepartment of Chemistry, University College of Science, Osmania University, Tarnaka, Hyderabad, Telangana State 500007 India.
Rama Krishna DumpatiDepartment of Chemistry, University College of Science, Osmania University, Tarnaka, Hyderabad, Telangana State 500007 India.
Vishwanath RamatenkiDepartment of Chemistry, University College of Science, Osmania University, Tarnaka, Hyderabad, Telangana State 500007 India.
Santhi Prada VellankiDepartment of Chemistry, University College of Science, Osmania University, Tarnaka, Hyderabad, Telangana State 500007 India.
Uma VuruputuriDepartment of Chemistry, University College of Science, Osmania University, Tarnaka, Hyderabad, Telangana State 500007 India.
Osmania University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Keratinocyte growth factor (KGF) protein is a member of the fibroblast growth factor (FGF) family, which is also known as FGF-7. The FGF-7 plays an important role in tumor angiogenesis. In the present work, FGF-7 is treated as a potential therapeutic target to prevent angiogenesis in cancerous tissue. Computational techniques are applied to evaluate and validate the 3D structure of FGF-7 protein. The active site region of the FGF-7 protein is identified based on hydrophobicity calculations using CASTp and Q-site Finder active site prediction tools. The protein-protein docking study of FGF-7 with its natural receptor FGFR2b is carried out to confirm the active site region in FGF-7. The amino acid residues Asp34, Arg67, Glu116, and Thr194 in FGF-7 interact with the receptor protein (FGFR2b). A grid is generated at the active site region of FGF-7 using Glide module of Schrödinger suite. Subsequently, a virtual screening study is carried out at the active site using small molecular structural databases to identify the ligand molecules. The binding interactions of the ligand molecules, with piperazine moiety as a pharmacophore, are observed at Arg67 and Glu149 residues of the FGF-7 protein. The identified ligand molecules against the FGF-7 protein show permissible pharmacokinetic properties (ADME). The ligand molecules with good docking scores and satisfactory pharmacokinetic properties are prioritized and identified as novel ligands for the FGF-7 protein in cancer therapy.

Indexed as

ADMEAngiogenesisFGF-7Protein–protein dockingVirtual screening

Identifiers

PMID27493695
PMCPMC4958063
OpenAlexW2435196308

What OpenQuestion 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 OpenQuestion graph.