Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

PredNTS: Improved and Robust Prediction of Nitrotyrosine Sites by Integrating Multiple Sequence Features
Andi Nur Nilamyani, Firda Nurul Auliah, Mohammad Ali Moni, et al.
International Journal of Molecular Sciences (2021) Vol. 22, Iss. 5, pp. 2704-2704
Open Access | Times Cited: 18

Showing 18 citing articles:

STALLION: a stacking-based ensemble learning framework for prokaryotic lysine acetylation site prediction
Shaherin Basith, Gwang Lee, Balachandran Manavalan
Briefings in Bioinformatics (2021) Vol. 23, Iss. 1
Open Access | Times Cited: 72
Unveiling the human nitroproteome: Protein tyrosine nitration in cell signaling and cancer
Irene Griswold‐Prenner, A.K. Kashyap, Sahar Mazhar, et al.
Journal of Biological Chemistry (2023) Vol. 299, Iss. 8, pp. 105038-105038
Open Access | Times Cited: 26
iNitroY-Deep: Computational Identification of Nitrotyrosine Sites to Supplement Carcinogenesis Studies Using Deep Learning
Sheraz Naseer, Rao Faizan Ali, Suliman Mohamed Fati, et al.
IEEE Access (2021) Vol. 9, pp. 73624-73640
Open Access | Times Cited: 25
Protein Tyrosine Nitration in Plant Nitric Oxide Signaling
José León
Frontiers in Plant Science (2022) Vol. 13
Open Access | Times Cited: 16
A Review on Artificial Intelligence Approaches and Rational Approaches in Drug Discovery
Anjana Vidya Srivathsa, Nandini Markuli Sadashivappa, Apeksha Krishnamurthy Hegde, et al.
Current Pharmaceutical Design (2023) Vol. 29, Iss. 15, pp. 1180-1192
Closed Access | Times Cited: 7
PMTPred: machine-learning-based prediction of protein methyltransferases using the composition of k-spaced amino acid pairs
Arvind Kumar Yadav, P. K. Gupta, Tiratha Raj Singh
Molecular Diversity (2024) Vol. 28, Iss. 4, pp. 2301-2315
Closed Access | Times Cited: 2
A tool for feature extraction from biological sequences
Sare Amerifar, Mahammad Norouzi, Mahmoud Ghandi
Briefings in Bioinformatics (2022) Vol. 23, Iss. 3
Closed Access | Times Cited: 8
A metabolic perspective on nitric oxide function in melanoma
John Jimenez, Parul Dubey, Bethany Carter, et al.
Biochimica et Biophysica Acta (BBA) - Reviews on Cancer (2023) Vol. 1879, Iss. 1, pp. 189038-189038
Closed Access | Times Cited: 4
The role of nitric oxide (NO) in plant responses to disturbed zinc homeostasis
Selahattin Kondak, Árpád Molnár, Dóra Oláh, et al.
Plant Stress (2022) Vol. 4, pp. 100068-100068
Open Access | Times Cited: 7
Computational prediction of NO-dependent posttranslational modifications in plants: Current status and perspectives
Zsuzsanna Kolbert, Christian Lindermayr
Plant Physiology and Biochemistry (2021) Vol. 167, pp. 851-861
Open Access | Times Cited: 9
Accurately predicting nitrosylated tyrosine sites using probabilistic sequence information
Afrida Rahman, Sabit Ahmed, Md. Al Mehedi Hasan, et al.
Gene (2022) Vol. 826, pp. 146445-146445
Closed Access | Times Cited: 5
Characterization of a novel affinity binding ligand for tyrosine nitrated peptides from a phage-displayed peptide library
Yi Fei Cheng, Jiaomei Qi, Ke Liu, et al.
Talanta (2022) Vol. 241, pp. 123225-123225
Closed Access | Times Cited: 4
PMTPred: Machine Learning Based Prediction of Protein Methyltransferases using the Composition of k-spaced Amino Acid Pairs
Arvind Kumar Yadav, P. K. Gupta, Tiratha Raj Singh
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 2
Editorial of Special Issue “Deep Learning and Machine Learning in Bioinformatics”
Mingon Kang, Jung Hun Oh
International Journal of Molecular Sciences (2022) Vol. 23, Iss. 12, pp. 6610-6610
Open Access | Times Cited: 4
Stacking based ensemble learning framework for identification of nitrotyrosine sites
Aiman Parvez, Syed Danish Ali, Hilal Tayara, et al.
Computers in Biology and Medicine (2024) Vol. 183, pp. 109200-109200
Closed Access
NTpred: A robust and precise machine learning framework for in-silico identification of Tyrosine nitration sites in protein sequences
Sourajyoti Datta, Muhammad Nabeel Asim, Andreas Dengel, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Closed Access
Progress of the “Molecular Informatics” Section in 2022
Antonio Rescifina
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 11, pp. 9442-9442
Open Access
NTpred: a robust and precise machine learning framework for in silico identification of Tyrosine nitration sites in protein sequences
Sourajyoti Datta, Muhammad Nabeel Asim, Andreas Dengel, et al.
Briefings in Functional Genomics (2023) Vol. 23, Iss. 2, pp. 163-179
Closed Access
Page 1

Scroll to top