Ravi Kumar

@NABI_India | Computational Biologist| Machine Learning | Systems Biology | Plant-Pathogen Interactions |

[Ravi Kumar @Ravisaroch]

Delighted to share a article on "Effector protein structures: a tale of evolutionary relationship". Published in @TrendsPlantSci @CellPressNews . Thank you @acharya_vis sir for your kind support. https://t.co/VgsmLATLvJ

[Arun Kumar @arunihbt]

Excited to share our latest work by @asheeshdhiman97 & team, unveiling the #CAZyme repertoire of #TrichodermacaribbaeumIHBT. Study highlights the first genome-level exploration of this newly discovered species from #WesternHimalayas @CSIR_IND @CSIR_IHBT
https://t.co/7Kf0C4P1xK

[Ravi Kumar @Ravisaroch]

@vivekmolbio @sumantamohapa15 @CSIR_IHBT @CSIR_IND Many Congratulations 🎊

[Ravi Kumar @Ravisaroch]

@arunihbt @CSIR_IHBT @CSIR_IND @ANRFIndia Many Congratulations Sir!

[Ravi Kumar @Ravisaroch]

@Akhil22218572 Congratulations 🎊

[Ravi Kumar @Ravisaroch]

@acharya_vis Congratulations @Ruhika15 and @acharya_vis Sir

[Matteo Lanzi @MatteoLanzi30]

🚨Are you a PhD researcher interested in MSCA Postdoctoral Fellowships? Joining our research group 💡applying to the @unipr BootCamp! 👉https://t.co/vk2Abiug0T Deadline 31st of January!

[R. Prasad @RPrasad12]

CSIR has “approved” the revision of the age limit from 32 years to 35 years for applicants with a PhD degree for the entry level position — Scientist C — at all the CSIR labs. The revised Rules shall come into force with effect from January 1, 2026

https://t.co/tmQedhJaVO

[Plant Physiology @PlantPhys]

eRUBY rice: Co-expression of a feedback-insensitive TyrA arogenate dehydrogenase with RUBY enhances endosperm betalain levels (Jiantao Tan, Yaxi Wang, Zhansheng Lin, Nan Chai, Yang Xue, Letian Chen, Yao-Guang Liu, Qinlong Zhu) @ASPB #PlantSci https://t.co/qR8CHHsZmh

[Ravi Kumar @Ravisaroch]

@Ashishwarghat @kanika39127361 @Ashrita11425951 @Shivshanker21 @sharmadinesh82 Congratulations Sir 🎊

[Ravi Kumar @Ravisaroch]

@ghosh_dipanshu Congratulations 🎊

[Ravi Kumar @Ravisaroch]

@vivekmolbio @sumantamohapa15 @ghosh_dipanshu Congratulations 🎊 to the entire team.

[Ravi Kumar @Ravisaroch]

@diksha04k @CSIR_IHBT @PlantBiotechJ @joeljosesanthi @CSIR_IND Congratulations 🎊 Diksha and to the entire team

[Ravi Kumar @Ravisaroch]

@ghosh_dipanshu @vivekmolbio Congratulations 🎊

[Ravi Kumar @Ravisaroch]

@Abhisha36157521 @CSIR_IHBT @PPLplantarum @HallanVipin @SaikatB12420481 Congratulations 🎊

[Ravi Kumar @Ravisaroch]

Preprint: Oxidative stress-induced proteolytic activation of polyphenol oxidase triggers an oxidized flavonoids-mediated stress signaling in Camellia sinensis. https://t.co/Gu7k99goaC

[Vivek Dogra @vivekmolbio]

Recent work from the #PASS lab @CSIR_IHBT @CSIR_IND
@sumantamohapa15 established the role of an evolutionarily conserved enzyme #PPO that senses stress in chloroplast & undergoes a proteolytic activation to trigger stress signaling in Tea & other plants https://t.co/9K3inRNXBo

[Ravi Kumar @Ravisaroch]

@KunduPravesh @PlantAdaptOme Congratulations 🎉🥳👏

[Clarivate for Academia & Government @ClarivateAG]

The 2025 Journal Citation Reports is coming soon!

The 50th edition of JCR will include data from 22,249 journals across 254 categories.

Celebrate #JCR2025 with us! #TrustedJournals

[Ravi Kumar @Ravisaroch]

@Lakhbee01357215 Many congratulations 🎉 sir ji

[Biology+AI Daily @BiologyAIDaily]

FoldScript: A Web Server for the Efficient Analysis of AI-Generated 3D Protein Models @NAR_Open

1. FoldScript is a web-based server designed to streamline the analysis and selection of AI-generated 3D protein models, offering an easy-to-use interface that efficiently synthesizes structural data from up to 25 models.

2. Unlike relying on a single top-ranked model, FoldScript aggregates information from multiple models to provide a more comprehensive understanding of protein structure, helping researchers identify the most reliable predictions.

3. The server supports several AI-driven protein structure predictors, including AlphaFold3 and RoseTTAFold, allowing users to compare different models for a given protein and assess their structural differences.

4. FoldScript generates visual representations of secondary structure elements, confidence scores (pLDDT), and alignment information from homologous sequences, providing an intuitive interface for both structural biologists and non-experts.

5. A key feature of FoldScript is the integration of a contacts analysis module, which identifies molecular contacts in protein:protein, protein:ligand, or protein:ion interactions, offering a valuable tool for evaluating model accuracy.

6. The server's ability to display results as flat figures or 3D models makes it accessible for rapid, large-scale structural analysis, offering a quick and effective way to assess multiple models in a matter of minutes.

7. FoldScript is freely available without login requirements, allowing both academic and commercial users to access its powerful tools without barriers, making it a versatile resource for the global scientific community.

8. The server is particularly beneficial for evaluating oligomeric structures, where experimental knowledge can be introduced to further refine model selection, helping researchers in drug design and molecular biology.

9. Future developments for FoldScript include support for RNA structure analysis, enhanced model filtering, and the ability to handle larger datasets, ensuring its adaptability as AI-driven protein modeling evolves.

💻Code: https://t.co/LsnSltQaQo
📜Paper: https://t.co/JuYkbWAKDQ

#ProteinModeling #AIinBiology #Bioinformatics #StructuralBiology #MachineLearning #DrugDesign #FoldScript #ComputationalBiology #ProteinStructure